Note: the module "R" cannot be unloaded because it was not loaded. WARNING: ignoring environment value of R_HOME R Under development (unstable) (2026-05-28 r90085) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > (cargs <- commandArgs(trailingOnly=TRUE)) [1] "/scratch/th798/data.table-revdeps/2026-05-29/deps.csv" [2] "618" [3] "/scratch/th798/data.table-revdeps/2026-05-29/data.table_release_1.18.4.tar.gz" [4] "/scratch/th798/data.table-revdeps/2026-05-29/data.table_master_1.18.99.1b998b10e8d6cef62909a1276686ac16c98f5c10.tar.gz" > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "9", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2026-05-29/deps.csv", task.str = "618", release = "/scratch/th798/data.table-revdeps/2026-05-29/data.table_release_1.18.4.tar.gz", master = "/scratch/th798/data.table-revdeps/2026-05-29/data.table_master_1.18.99.1b998b10e8d6cef62909a1276686ac16c98f5c10.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/28732487/R-devel/618" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache Failed with error: 'there is no package called 'R.cache'' > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (deps.row <- deps.df[task.id,]) Package task.id Version 618 gpboost 618 1.6.7 > (rev.dep <- deps.row$Package) [1] "gpboost" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/28732487/R-devel/618/library" [2] "/projects/genomic-ml/R/R-devel/library" > local.CRAN <- "/projects/genomic-ml/CRAN" > cran.url <- paste0("file://", local.CRAN) > #this should be in ~/.Rprofile too. > options(repos=c(CRAN=cran.url)) > print(Sys.time()) [1] "2026-05-29 01:56:43 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/28732487/R-devel/618/library' (as 'lib' is unspecified) also installing the dependencies 'crayon', 'fs', 'glue', 'pkgbuild', 'rprojroot', 'diffobj', 'brio', 'callr', 'cli', 'desc', 'evaluate', 'jsonlite', 'lifecycle', 'magrittr', 'pkgload', 'praise', 'processx', 'ps', 'rlang', 'waldo', 'withr', 'R6', 'RJSONIO', 'testthat' * installing *source* package 'crayon' ... ** this is package 'crayon' version '1.5.3' ** package 'crayon' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crayon) * installing *source* package 'fs' ... ** this is package 'fs' version '2.1.0' ** package 'fs' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -luv -lrt -ldl ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dir.cc -o dir.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error.cc -o error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file.cc -o file.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fs.cc -o fs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getmode.cc -o getmode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c id.cc -o id.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cc -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c link.cc -o link.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c path.cc -o path.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cc -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/getmode.cc -o unix/getmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/setmode.c -o bsd/setmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/strmode.c -o bsd/strmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/reallocarray.c -o bsd/reallocarray.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fs.so dir.o error.o file.o fs.o getmode.o id.o init.o link.o path.o utils.o unix/getmode.o bsd/setmode.o bsd/strmode.o bsd/reallocarray.o -L/home/th798/.conda/envs/emacs1/lib -luv -lrt -ldl installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-fs/00new/fs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fs) * installing *source* package 'glue' ... ** this is package 'glue' version '1.8.1' ** package 'glue' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trim.c -o trim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glue.so glue.o init.o trim.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-glue/00new/glue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glue) * installing *source* package 'rprojroot' ... ** this is package 'rprojroot' version '2.1.1' ** package 'rprojroot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rprojroot) * installing *source* package 'brio' ... ** this is package 'brio' version '1.1.5' ** package 'brio' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brio.c -o brio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file_line_endings.c -o file_line_endings.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file.c -o read_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file_raw.c -o read_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_lines.c -o read_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file.c -o write_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file_raw.c -o write_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_lines.c -o write_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brio.so brio.o file_line_endings.o init.o read_file.o read_file_raw.o read_lines.o write_file.o write_file_raw.o write_lines.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-brio/00new/brio/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brio) * installing *source* package 'cli' ... ** this is package 'cli' version '3.6.6' ** package 'cli' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ansi.c -o ansi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inst.c -o inst.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-unix.c -o keypress-unix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-win.c -o keypress-win.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress.c -o keypress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress-altrep.c -o progress-altrep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress.c -o progress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha256.c -o sha256.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tty.c -o tty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vt.c -o vt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse.c -o vtparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse_table.c -o vtparse_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c win-utf8.c -o win-utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winfiles.c -o winfiles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash.c -o xxhash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash2.c -o xxhash2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cli.so ansi.o cleancall.o diff.o errors.o glue.o init.o inst.o keypress-unix.o keypress-win.o keypress.o md5.o progress-altrep.o progress.o sha1.o sha256.o thread.o tty.o utf8.o utils.o vt.o vtparse.o vtparse_table.o win-utf8.o winfiles.o xxhash.o xxhash2.o -lpthread installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-cli/00new/cli/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) * installing *source* package 'evaluate' ... ** this is package 'evaluate' version '1.0.5' ** package 'evaluate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evaluate) * installing *source* package 'jsonlite' ... ** this is package 'jsonlite' version '2.0.0' ** package 'jsonlite' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_array.c -o collapse_array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_object.c -o collapse_object.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_pretty.c -o collapse_pretty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c escape_chars.c -o escape_chars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integer64_to_na.c -o integer64_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_datelist.c -o is_datelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_recordlist.c -o is_recordlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_scalarlist.c -o is_scalarlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modp_numtoa.c -o modp_numtoa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c null_to_na.c -o null_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c num_to_char.c -o num_to_char.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prettify.c -o prettify.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c push_parser.c -o push_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-base64.c -o r-base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c register.c -o register.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c row_collapse.c -o row_collapse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose_list.c -o transpose_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c validate.c -o validate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl.c -o yajl/yajl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_alloc.c -o yajl/yajl_alloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_buf.c -o yajl/yajl_buf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_encode.c -o yajl/yajl_encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_gen.c -o yajl/yajl_gen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_lex.c -o yajl/yajl_lex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_parser.c -o yajl/yajl_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_tree.c -o yajl/yajl_tree.o ar rcs yajl/libstatyajl.a yajl/yajl.o yajl/yajl_alloc.o yajl/yajl_buf.o yajl/yajl_encode.o yajl/yajl_gen.o yajl/yajl_lex.o yajl/yajl_parser.o yajl/yajl_tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o jsonlite.so base64.o collapse_array.o collapse_object.o collapse_pretty.o escape_chars.o integer64_to_na.o is_datelist.o is_recordlist.o is_scalarlist.o modp_numtoa.o null_to_na.o num_to_char.o parse.o prettify.o push_parser.o r-base64.o register.o row_collapse.o transpose_list.o validate.o -Lyajl -lstatyajl installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-jsonlite/00new/jsonlite/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for 'asJSON' with signature '"AsIs"': no definition for class "AsIs" in method for 'asJSON' with signature '"ITime"': no definition for class "ITime" in method for 'asJSON' with signature '"hms"': no definition for class "hms" in method for 'asJSON' with signature '"json"': no definition for class "json" in method for 'asJSON' with signature '"integer64"': no definition for class "integer64" in method for 'asJSON' with signature '"pairlist"': no definition for class "pairlist" in method for 'asJSON' with signature '"blob"': no definition for class "blob" in method for 'asJSON' with signature '"scalar"': no definition for class "scalar" in method for 'asJSON' with signature '"sf"': no definition for class "sf" in method for 'asJSON' with signature '"sfc"': no definition for class "sfc" in method for 'asJSON' with signature '"vctrs_vctr"': no definition for class "vctrs_vctr" ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jsonlite) * installing *source* package 'magrittr' ... ** this is package 'magrittr' version '2.0.5' ** package 'magrittr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pipe.c -o pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o magrittr.so pipe.o utils.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-magrittr/00new/magrittr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magrittr) * installing *source* package 'praise' ... ** this is package 'praise' version '1.0.0' ** package 'praise' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (praise) * installing *source* package 'ps' ... ** this is package 'ps' version '1.9.3' ** package 'ps' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall px.c -o px /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-common.c -o api-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common.c -o common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extra.c -o extra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error-codes.c -o error-codes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c posix.c -o posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-posix.c -o api-posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c linux.c -o linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-linux.c -o api-linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o cleancall.o posix.o api-posix.o linux.o api-linux.o installing via 'install.libs.R' to /tmp/th798/28732487/R-devel/618/library/00LOCK-ps/00new/ps ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ps) * installing *source* package 'rlang' ... ** this is package 'rlang' version '1.2.0' ** package 'rlang' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c capture.c -o capture.o touch internal.c /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.c -o internal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rlang.so capture.o internal.o rlang.o version.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-rlang/00new/rlang/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlang) * installing *source* package 'withr' ... ** this is package 'withr' version '3.0.2' ** package 'withr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (withr) * installing *source* package 'R6' ... ** this is package 'R6' version '2.6.1' ** package 'R6' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R6) * installing *source* package 'RJSONIO' ... ** this is package 'RJSONIO' version '2.0.0' ** package 'RJSONIO' successfully unpacked and MD5 sums checked ** using staged installation Trying to find libjson.h header file checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed USE_LOCAL = "" Minor Version: 6 Using local libjson code. Copying files from src/libjson/Source /tmp/th798/28732487/Rtmp25PodE/R.INSTALL1f8e5549bff0e/RJSONIO JSONAllocator.cpp JSONChildren.cpp JSONDebug.cpp JSONIterators.cpp JSONMemory.cpp JSONNode.cpp JSONNode_Mutex.cpp JSONPreparse.cpp JSONStream.cpp JSONValidator.cpp JSONWorker.cpp JSONWriter.cpp internalJSONNode.cpp libjson.cpp /usr/bin/cp src/libjson/Source/JSONAllocator.cpp src/libjson/Source/JSONChildren.cpp src/libjson/Source/JSONDebug.cpp src/libjson/Source/JSONIterators.cpp src/libjson/Source/JSONMemory.cpp src/libjson/Source/JSONNode.cpp src/libjson/Source/JSONNode_Mutex.cpp src/libjson/Source/JSONPreparse.cpp src/libjson/Source/JSONStream.cpp src/libjson/Source/JSONValidator.cpp src/libjson/Source/JSONWorker.cpp src/libjson/Source/JSONWriter.cpp src/libjson/Source/internalJSONNode.cpp src/libjson/Source/libjson.cpp src/ /usr/bin/cp src/libjson/JSONOptions.h src/ configure: creating ./config.status config.status: creating src/Makevars config.status: creating tools/cleanup ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ConvertUTF.c -o ConvertUTF.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONAllocator.cpp -o JSONAllocator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONChildren.cpp -o JSONChildren.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONDebug.cpp -o JSONDebug.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONIterators.cpp -o JSONIterators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONMemory.cpp -o JSONMemory.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONNode.cpp -o JSONNode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONNode_Mutex.cpp -o JSONNode_Mutex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONPreparse.cpp -o JSONPreparse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONStream.cpp -o JSONStream.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONValidator.cpp -o JSONValidator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONWorker.cpp -o JSONWorker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONWriter.cpp -o JSONWriter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSON_parser.c -o JSON_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RJSON.c -o RJSON.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internalJSONNode.cpp -o internalJSONNode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libjson.cpp -o libjson.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlibjson.c -o rlibjson.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rparser.c -o rparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RJSONIO.so ConvertUTF.o JSONAllocator.o JSONChildren.o JSONDebug.o JSONIterators.o JSONMemory.o JSONNode.o JSONNode_Mutex.o JSONPreparse.o JSONStream.o JSONValidator.o JSONWorker.o JSONWriter.o JSON_parser.o RJSON.o init.o internalJSONNode.o libjson.o rlibjson.o rparser.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-RJSONIO/00new/RJSONIO/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RJSONIO) * installing *source* package 'diffobj' ... ** this is package 'diffobj' version '0.3.6' ** package 'diffobj' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diffobj.c -o diffobj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o diffobj.so diff.o diffobj.o init.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-diffobj/00new/diffobj/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diffobj) * installing *source* package 'desc' ... ** this is package 'desc' version '1.4.3' ** package 'desc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (desc) * installing *source* package 'lifecycle' ... ** this is package 'lifecycle' version '1.0.5' ** package 'lifecycle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lifecycle) * installing *source* package 'processx' ... ** this is package 'processx' version '3.9.0' ** package 'processx' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall tools/px.c -o tools/px /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -I../inst/include -Wall tools/sock.c -o tools/sock /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 supervisor/supervisor.c \ supervisor/utils.c -o supervisor/supervisor /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c client.c -o client.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o client.so base64.o client.o errors.o \ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c poll.c -o poll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-connection.c -o processx-connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-vector.c -o processx-vector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c create-time.c -o create-time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/childlist.c -o unix/childlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/connection.c -o unix/connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/processx.c -o unix/processx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/sigchld.c -o unix/sigchld.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/utils.c -o unix/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/named_pipe.c -o unix/named_pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o processx.so init.o poll.o errors.o processx-connection.o processx-vector.o create-time.o base64.o unix/childlist.o unix/connection.o unix/processx.o unix/sigchld.o unix/utils.o unix/named_pipe.o cleancall.o installing via 'install.libs.R' to /tmp/th798/28732487/R-devel/618/library/00LOCK-processx/00new/processx ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (processx) * installing *source* package 'gpboost' ... ** this is package 'gpboost' version '1.6.7' ** package 'gpboost' successfully unpacked and MD5 sums checked ** using staged installation checking location of R... /home/th798/R/R-devel checking whether MM_PREFETCH works... yes checking whether MM_MALLOC works... yes configure: creating ./config.status config.status: creating src/Makevars ** libs specified C++17 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/boosting.cpp -o boosting/boosting.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/dart.hpp:16, from boosting/boosting.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt.cpp -o boosting/gbdt.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/gbdt.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_model_text.cpp -o boosting/gbdt_model_text.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from boosting/gbdt_model_text.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_prediction.cpp -o boosting/gbdt_prediction.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt_prediction.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/prediction_early_stop.cpp -o boosting/prediction_early_stop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/bin.cpp -o io/bin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config.cpp -o io/config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config_auto.cpp -o io/config_auto.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset.cpp -o io/dataset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset_loader.cpp -o io/dataset_loader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/file_io.cpp -o io/file_io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/json11.cpp -o io/json11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/metadata.cpp -o io/metadata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/parser.cpp -o io/parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/train_share_states.cpp -o io/train_share_states.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/tree.cpp -o io/tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/dcg_calculator.cpp -o metric/dcg_calculator.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/dcg_calculator.cpp:5: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/metric.cpp -o metric/metric.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/metric.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c objective/objective_function.cpp -o objective/objective_function.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from objective/objective_function.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/ifaddrs_patch.cpp -o network/ifaddrs_patch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linker_topo.cpp -o network/linker_topo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_mpi.cpp -o network/linkers_mpi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_socket.cpp -o network/linkers_socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/network.cpp -o network/network.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/data_parallel_tree_learner.cpp -o treelearner/data_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/feature_parallel_tree_learner.cpp -o treelearner/feature_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/gpu_tree_learner.cpp -o treelearner/gpu_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/linear_tree_learner.cpp -o treelearner/linear_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/Dense:1, from treelearner/linear_tree_learner.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' treelearner/linear_tree_learner.cpp:349:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Inverse > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Inverse > > >' treelearner/linear_tree_learner.cpp:349:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>' treelearner/linear_tree_learner.cpp:349:63: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:493:28: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/FullPivLU.h:493:44: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:517:47: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >' ./include/Eigen/src/LU/FullPivLU.h:518:35: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:545:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:549:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:103: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:559:85: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:519:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Inverse > >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:545:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/LU/FullPivLU.h:549:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:853:60: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/FullPivLU.h:853:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Inverse > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Inverse > >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/FullPivLU.h:767:22: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:774:59: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:785:55: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 5]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/LU/FullPivLU.h:772:20: required from 'void Eigen::FullPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/Core/Solve.h:147:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/serial_tree_learner.cpp -o treelearner/serial_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from treelearner/serial_tree_learner.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/tree_learner.cpp -o treelearner/tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/voting_parallel_tree_learner.cpp -o treelearner/voting_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c_api.cpp -o c_api.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from c_api.cpp:12: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gpboost_R.cpp -o gpboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c re_model.cpp -o re_model.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from re_model.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' re_model.cpp:289:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:1013:17: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:3359:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/re_model_template.h:3458:74: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:3489:45: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3678:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:3730:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_model_template.h:3763:63: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:3678:20: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3678:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:3678:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4260:54: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4294:115: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4295:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4296:74: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:4298:48: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4316:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4336:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:4336:41: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:4344:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:4492:30: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4550:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4574:78: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4577:64: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:4336:62: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4336:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:4336:41: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/GPBoost/re_model_template.h:4344:81: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >' ./include/GPBoost/re_model_template.h:4344:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4351:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/re_model_template.h:4410:61: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4574:78: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4577:43: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4577:64: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4336:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:4336:41: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:4344:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:4351:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4574:78: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:4577:43: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4577:64: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:4769:100: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4787:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4787:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1157:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:4787:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1160:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9194:97: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:9200:54: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:9203:112: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9205:100: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:9266:106: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9301:41: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2644:26: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:2656:65: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:613:108: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:692:105: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1811:53: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1859:54: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:1971:84: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10181:32: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1406:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10206:46: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1406:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10208:34: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1406:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:7904:61: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:8172:50: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1426:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:8189:139: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1426:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:8192:75: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1426:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9210:60: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1845:117: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1845:130: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1845:117: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1845:130: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2763:58: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/re_model_template.h:2849:127: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/re_model_template.h:2814:80: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:653:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/re_model_template.h:2814:88: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:653:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:2814:94: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:653:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/GPBoost/re_model_template.h:8858:140: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/re_model_template.h:8876:61: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >' ./include/GPBoost/re_model_template.h:10084:59: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:3457:26: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1339:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3484:76: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from 'class Eigen::SparseView >' ./include/GPBoost/utils.h:343:22: required from 'void GPBoost::ConvertTo_T_mat_FromDense(den_mat_t, T_mat1&) [with T_mat1 = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3490:41: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1339:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3497:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 2> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:3594:17: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6729:22: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 5>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 5>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 5>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6733:17: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:6742:75: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>' ./include/GPBoost/likelihoods.h:6805:56: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/likelihoods.h:6925:68: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6928:67: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6931:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6934:36: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6937:51: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6947:78: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/likelihoods.h:6960:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6961:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:7065:86: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:27: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:7116:92: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:7117:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:7121:72: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7137:30: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:7149:50: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7354:82: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:7448:28: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:11059:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11059:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11059:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11067:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Matrix > >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:11162:97: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11196:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:11196:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:11280:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:11309:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:11309:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:11315:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:11335:100: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:11339:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:11397:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11446:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:11472:30: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:10433:92: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ./include/GPBoost/re_model_template.h:10438:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/GPBoost/re_model_template.h:10438:54: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/re_model_template.h:10619:75: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10658:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:10704:107: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10907:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' ./include/Eigen/src/Core/VectorwiseOp.h:594:36: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ./include/GPBoost/re_model_template.h:4120:33: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1339:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3497:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' ./include/GPBoost/re_model_template.h:3637:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:11059:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11059:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11059:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11196:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:11196:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:11280:103: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:11280:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11303:86: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:11309:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:11309:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:11339:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:11397:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:10612:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:11059:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11059:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11059:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11196:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:11196:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11280:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:11339:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:11397:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:10612:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:10613:45: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10907:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4263:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4263:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4301:67: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4357:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4357:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4410:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7997:62: required from 'void GPBoost::Likelihood::CalcVarLaplaceApproxOnlyOneGPCalculationsOnREScale(std::shared_ptr<_Tp>, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4518:84: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:607:75: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4357:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4410:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4769:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4769:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_comp.h:871:22: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6839:75: required from 'void GPBoost::REModelTemplate::InitializeMatricesForUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:444:5: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:540:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:540:63: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:540:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:549:31: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:560:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1128:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>' ./include/GPBoost/re_model_template.h:9327:57: required from 'void GPBoost::REModelTemplate::CalcYtilde(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2622:6: required from 'void GPBoost::REModelTemplate::CalcCovFactorOrModeAndNegLL(const GPBoost::vec_t&, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1268:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:107:103: required from 'double GPBoost::EvalLLforOptimLib(const vec_t&, vec_t*, void*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:643:13: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/LBFGS.h:175:31: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2066:53: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:81: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2124:125: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2152:50: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2151:131: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/GPBoost/re_model_template.h:2174:161: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2187:108: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2198:117: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:2343:105: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:2347:114: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:2365:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2396:60: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2404:39: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:6183:40: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::SingleRange>' ./include/GPBoost/re_model_template.h:6094:11: required from 'void GPBoost::REModelTemplate::GetYAux(GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1858:13: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:5427:48: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5632:82: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5635:30: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5637:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5661:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5666:195: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5670:110: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5741:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/GPBoost/likelihoods.h:5828:104: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:5846:67: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5881:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:5885:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:5887:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:5915:88: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' ./include/GPBoost/likelihoods.h:4342:60: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4352:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:4355:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4362:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4383:188: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:116: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4448:180: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4466:123: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4555:28: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/GPBoost/likelihoods.h:4574:39: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4692:77: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4698:105: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:4703:78: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4707:97: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:4771:83: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:130: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4850:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4859:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/likelihoods.h:4868:112: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/GPBoost/likelihoods.h:4872:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4887:147: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:65: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4974:99: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:4978:105: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:5107:37: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:5131:40: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5161:117: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5163:29: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5166:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>' ./include/GPBoost/likelihoods.h:5168:68: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>' ./include/GPBoost/likelihoods.h:5169:87: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:112: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/GPBoost/likelihoods.h:5197:95: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:3738:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3773:64: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:65: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/likelihoods.h:3803:73: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3809:70: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:3855:57: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, false>, 0>' ./include/GPBoost/likelihoods.h:3864:98: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3937:65: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Block, -1, 1, true>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/GPBoost/likelihoods.h:3955:36: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3958:25: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:4091:123: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3524:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3569:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/GPBoost/re_model_template.h:4829:168: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8649:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1343:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/GPBoost/re_model_template.h:4833:97: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8649:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1343:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:4836:33: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8649:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1343:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1356:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9564:107: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9565:136: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:72: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:9637:91: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/re_model_template.h:9734:80: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9890:74: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:10016:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:10021:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1445:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1446:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1481:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:540:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:540:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:560:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2152:50: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2151:131: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:6175:25: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3524:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3524:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3569:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:540:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:560:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2151:131: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6224:39: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3524:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3524:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3569:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:9899:43: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:655:12: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:668:31: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/GPBoost/CG_utils.h:685:53: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' ./include/GPBoost/CG_utils.h:714:10: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:8876:47: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:8876:47: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:8876:47: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/GPBoost/likelihoods.h:3064:35: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3103:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3106:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3146:75: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0> >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0> >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0> >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2555:53: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2608:54: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2619:49: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/GPBoost/likelihoods.h:2621:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:2644:47: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:2753:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:2770:110: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>' ./include/GPBoost/likelihoods.h:2845:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:2858:69: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2868:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3303:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3312:44: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:3366:58: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:3428:90: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2175:39: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2180:36: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:2417:27: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8796:93: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2031:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2040:26: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:6112:63: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8865:19: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2031:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2040:26: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2031:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:685:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2040:26: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:685:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6257:41: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:6308:59: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:6311:117: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:6313:91: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/cov_fcts.h:718:17: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1260:53: required from 'void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3494:48: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > > >': ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from 'class Eigen::SparseView, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/GPBoost/cov_fcts.h:751:66: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1260:53: required from 'void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3494:48: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:10363:85: required from 'void GPBoost::Likelihood::CalcInformationLogLik(const double*, const int*, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/likelihoods.h:7270:6: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:7448:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:11397:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:7926:71: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:11548:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Block, -1, -1, true>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, true>, 2>' ./include/GPBoost/likelihoods.h:6158:40: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>' ./include/GPBoost/likelihoods.h:6295:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6321:81: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6358:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6398:98: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6522:121: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:10909:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:10909:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:514:38: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10409:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10855:67: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6632:77: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6039:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10890:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6632:77: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/likelihoods.h:6039:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10890:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:4350:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:4350:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:1362:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4669:65: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1173:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ./include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ./include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ./include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:259:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:28: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:261:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:275:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' ./include/LBFGSpp/BFGSMat.h:173:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:170:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/LBFGSpp/BFGSMat.h:119:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' ./include/LBFGSpp/BFGSMat.h:119:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1818:96: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1819:55: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2081:104: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2081:104: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:13379:34: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/GPBoost/likelihoods.h:13386:50: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1>' ./include/GPBoost/likelihoods.h:13391:37: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13452:103: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13464:113: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:13473:115: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13480:83: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5438:27: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 1>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13528:124: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13533:106: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13537:109: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:13569:84: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:89: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:13636:104: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxParVecchia(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5533:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:13656:90: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxParVecchia(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5533:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5606:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>' ./include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4977:171: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7946:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1337:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7888:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7912:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/sparse_matrix_utils.h:416:29: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2327:87: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:13145:82: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7687:90: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_Vecchia(const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/likelihoods.h:3192:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/GPBoost/likelihoods.h:13215:73: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:13242:78: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >' ./include/GPBoost/likelihoods.h:13255:112: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/likelihoods.h:13289:63: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:13307:66: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7781:72: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FSVA(const GPBoost::den_mat_t*, GPBoost::den_mat_t, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::den_mat_t, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/likelihoods.h:2810:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:7817:101: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FITC(const GPBoost::den_mat_t*, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3418:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:7838:82: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FITC(const GPBoost::den_mat_t*, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3418:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1>' ./include/GPBoost/likelihoods.h:7567:96: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_GroupedRE(const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2253:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:7568:86: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_GroupedRE(const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2253:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:7572:101: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_GroupedRE(const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2253:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7648:110: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_OnlyOneGroupedRE() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/likelihoods.h:2449:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8796:93: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2031:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2031:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:296:68: required from 'void GPBoost::CovFunction::ScaleCoordinates_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:820:6: required from 'double GPBoost::CovFunction::CalculateCovarianceOneEntry(double, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1375:68: required from 'double GPBoost::RECompGP::GetZSigmaZtij(int, int) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3507:75: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7106:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7106:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7107:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7107:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7108:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7108:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7180:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7180:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11015:64: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11323:70: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11324:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11345:89: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7949:53: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:11548:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:517:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10409:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:517:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10409:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_comp.h:1758:49: required from 'bool GPBoost::RECompGP::HasDuplicatedCoords() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7351:34: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Visitor.h:302:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1128:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1131:75: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2089:107: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2090:52: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2126:114: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2127:158: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2129:74: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2244:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2245:92: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:5872:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3821:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1445:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2216:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:724:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:474:39: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8764:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:482:52: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8764:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2996:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2593:154: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3375:40: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:339:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:11001:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ./include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:170:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/LBFGSpp/BKLDLT.h:333:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:362:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:362:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:368:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:368:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1838:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1838:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7888:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1846:60: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2743:70: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 1; bool Transposed = false]' ./include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; int ProductTag = 8; MatrixShape = Eigen::SparseShape]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:6112:23: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8865:19: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7180:93: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7188:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseUtil.h:121:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:6158:31: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/SparseCore/SparseProduct.h:72:53: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:6158:31: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4410:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6803:73: required from 'void GPBoost::REModelTemplate::InitializeMatricesForUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:444:5: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2401:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4479:128: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4589:116: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4180:74: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1937:106: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1356:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1445:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1446:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1481:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2593:154: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:1365:130: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4669:65: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1173:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' ./include/Eigen/src/Core/CoreEvaluators.h:884:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BFGSMat.h:93:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1818:96: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:13654:114: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxParVecchia(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5533:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7946:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1337:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7888:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7912:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:13070:57: required from 'void GPBoost::Likelihood::CalcLogDetStochFSVA(const GPBoost::data_size_t&, const int&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const std::vector > > >&, const GPBoost::vec_t&, const GPBoost::chol_den_mat_t&, const GPBoost::vec_t&, bool&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:2886:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7116:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7116:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11324:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/Eigen/src/SparseCore/SparseAssign.h:200:35: required from 'static typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type Eigen::internal::assignment_from_dense_op_sparse::run(DstXprType&, const Eigen::CwiseBinaryOp, const Lhs, const Rhs>&, const Eigen::internal::assign_op&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 2>; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double; DstXprType = Eigen::Matrix; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type = void; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:4787:27: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1160:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2089:107: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2090:52: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2127:158: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2129:74: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2244:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2245:92: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/likelihoods.h:5632:76: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:5872:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4985:139: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3821:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9586:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2216:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2996:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3375:40: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:11001:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:1371:17: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4669:65: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1173:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:170:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BKLDLT.h:362:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1838:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:689:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6958:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5881:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::add_assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >, Eigen::internal::add_assign_op, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::SparseMatrix; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Matrix]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:4351:17: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9218:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5859:23: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4985:139: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:3958:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9586:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:3359:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6958:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11436:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2656:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5881:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4374:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4374:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3557:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:689:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:11339:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4391:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4985:139: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9586:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7775:12: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FSVA(const GPBoost::den_mat_t*, GPBoost::den_mat_t, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::den_mat_t, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/likelihoods.h:2810:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:3359:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Transpose >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6742:15: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6958:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2656:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:13539:141: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:774:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5859:23: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5881:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5883:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1971:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:2183:36: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3557:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:689:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:724:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7116:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:11339:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4391:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2081:104: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:3359:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11436:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2656:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4091:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3557:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:11339:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4391:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4977:171: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7775:12: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FSVA(const GPBoost::den_mat_t*, GPBoost::den_mat_t, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::den_mat_t, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/likelihoods.h:2810:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::add_assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:540:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Transpose >, 1> >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, true> >; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5883:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1971:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:549:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:540:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:549:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:549:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' ./include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' ./include/Eigen/src/LU/InverseImpl.h:311:60: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/PartialPivLU.h:528:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': ./include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/Ref.h:300:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' ./include/Eigen/src/LU/PartialPivLU.h:514:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' ./include/Eigen/src/LU/PartialPivLU.h:538:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/PartialPivLU.h:582:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' ./include/Eigen/src/Core/Visitor.h:302:14: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse_matrix_utils.cpp -o sparse_matrix_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/sparse_matrix_utils.h:12, from sparse_matrix_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' ./include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' ./include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' sparse_matrix_utils.cpp:306:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' ./include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map >; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_matrix_utils.cpp:289:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GP_utils.cpp -o GP_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/GP_utils.h:12, from GP_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' GP_utils.cpp:38:11: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' GP_utils.cpp:38:11: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' GP_utils.cpp:55:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' GP_utils.cpp:214:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' GP_utils.cpp:217:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:234:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:264:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:264:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' GP_utils.cpp:303:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:303:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:316:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:316:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' GP_utils.cpp:376:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:376:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:376:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:380:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:426:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:440:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:168:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:214:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:214:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' GP_utils.cpp:209:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' GP_utils.cpp:230:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:264:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:463:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from 'struct Eigen::internal::plain_object_eval, Eigen::Sparse>' ./include/Eigen/src/SparseCore/SparseProduct.h:71:53: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' GP_utils.cpp:38:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:234:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:303:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/AssignEvaluator.h:873:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' GP_utils.cpp:373:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:380:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:426:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:440:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:260:9: required from 'static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' GP_utils.cpp:38:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:249:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:384:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:217:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:376:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:376:78: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:316:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DF_utils.cpp -o DF_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Vecchia_utils.cpp -o Vecchia_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/Vecchia_utils.h:12, from Vecchia_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:47:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' Vecchia_utils.cpp:53:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:362:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:378:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:378:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:518:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:552:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/TriangularMatrix.h:175:44: required from 'struct Eigen::internal::traits >, 9> >' ./include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:27:34: required from 'class Eigen::TriangularBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:345:58: required from 'class Eigen::TriangularViewImpl >, 9, Eigen::Dense>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 9>' Vecchia_utils.cpp:690:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' Vecchia_utils.cpp:1104:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:1114:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' Vecchia_utils.cpp:1232:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1359:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1359:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1398:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1398:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:1454:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1465:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:1486:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1486:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1545:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1545:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Matrix > >' Vecchia_utils.cpp:1562:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1571:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Transpose > > >' Vecchia_utils.cpp:1571:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >' Vecchia_utils.cpp:1571:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1592:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1593:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' Vecchia_utils.cpp:1717:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::internal::AllRange<-1>, std::vector, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >' Vecchia_utils.cpp:1851:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1852:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1863:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:1886:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:1886:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' Vecchia_utils.cpp:1911:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1916:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1916:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' Vecchia_utils.cpp:1916:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' Vecchia_utils.cpp:1916:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1917:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:1917:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>' Vecchia_utils.cpp:1917:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:1926:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' Vecchia_utils.cpp:1926:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' Vecchia_utils.cpp:1953:58: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' Vecchia_utils.cpp:1959:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:1977:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1984:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1991:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1991:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2032:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' Vecchia_utils.cpp:2032:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' Vecchia_utils.cpp:2038:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:2042:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:2059:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:2059:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:2059:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:2059:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' Vecchia_utils.cpp:2059:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' Vecchia_utils.cpp:2059:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:2083:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2087:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' Vecchia_utils.cpp:2091:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>' Vecchia_utils.cpp:2091:199: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' Vecchia_utils.cpp:2091:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:2095:144: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' Vecchia_utils.cpp:2095:144: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:2333:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2333:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:2333:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:2336:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' Vecchia_utils.cpp:2336:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>' Vecchia_utils.cpp:2336:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' Vecchia_utils.cpp:2337:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' Vecchia_utils.cpp:2337:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2343:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:2349:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2504:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:2509:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' Vecchia_utils.cpp:2517:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2517:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' Vecchia_utils.cpp:2517:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2518:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' Vecchia_utils.cpp:2520:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product >, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 2>, 2>' Vecchia_utils.cpp:2520:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> >' Vecchia_utils.cpp:2524:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:2550:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:2552:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:2553:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>' Vecchia_utils.cpp:2553:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>' Vecchia_utils.cpp:2553:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>' Vecchia_utils.cpp:2553:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1031:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1357:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:1412:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:1412:86: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1432:33: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1432:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1545:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1545:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1657:47: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1663:39: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' Vecchia_utils.cpp:1911:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1950:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:88:32: required from 'struct Eigen::internal::sparse_diagonal_product_evaluator, Eigen::Transpose >, 0>' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1959:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > > >' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:88:32: required from 'struct Eigen::internal::sparse_diagonal_product_evaluator, Eigen::Transpose, const Eigen::Matrix > >, 0>' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:2038:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2349:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2349:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:42:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:648:31: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/GPBoost/re_comp.h:1483:19: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:378:74: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:259:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:475:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:261:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:475:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:275:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:475:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:777:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1447:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1460:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1461:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1463:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1464:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1592:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' Vecchia_utils.cpp:1811:14: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1886:64: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1983:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1983:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1984:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1984:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1985:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1985:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/sparse_matrix_utils.h:306:25: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if, T_mat1>::value>::type* = 0]' Vecchia_utils.cpp:2060:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:307:46: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if, T_mat1>::value>::type* = 0]' Vecchia_utils.cpp:2060:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2516:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2516:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2537:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:296:68: required from 'void GPBoost::CovFunction::ScaleCoordinates_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:820:6: required from 'double GPBoost::CovFunction::CalculateCovarianceOneEntry(double, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1375:68: required from 'double GPBoost::RECompGP::GetZSigmaZtij(int, int) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1504:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:53:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:378:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1186:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1886:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1983:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2634:53: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2636:79: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2265:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1486:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1863:116: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from 'void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:678:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:215:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:381:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' Vecchia_utils.cpp:2335:19: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:42:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:552:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2437:83: required from 'double GPBoost::CovFunction::SpaceTimeGneitingCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2492:91: required from 'double GPBoost::CovFunction::GradientSpaceTimeGneitingCovariance(int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*, const GPBoost::vec_t&, int, bool, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2089:13: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1447:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1460:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1461:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1463:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1464:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:847:73: required from 'double GPBoost::CovFunction::CalculateCovarianceOneEntry(double, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1375:68: required from 'double GPBoost::RECompGP::GetZSigmaZtij(int, int) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1504:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1592:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, true>]' Vecchia_utils.cpp:1717:73: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2537:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:185:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:550:97: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2265:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2437:83: required from 'double GPBoost::CovFunction::SpaceTimeGneitingCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2634:53: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2636:79: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1950:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1950:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:2333:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2437:83: required from 'double GPBoost::CovFunction::SpaceTimeGneitingCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2492:91: required from 'double GPBoost::CovFunction::GradientSpaceTimeGneitingCovariance(int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*, const GPBoost::vec_t&, int, bool, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2089:13: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1921:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:307:46: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if, T_mat1>::value>::type* = 0]' Vecchia_utils.cpp:2060:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2533:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::AllRange<-1>, std::vector >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:2333:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1921:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Transpose >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Transpose > >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Transpose > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1935:121: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1657:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1921:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1663:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1663:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1663:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1571:89: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:1362:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1240:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CG_utils.cpp -o CG_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/CG_utils.h:12, from CG_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' CG_utils.cpp:36:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' CG_utils.cpp:55:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:55:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:55:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' CG_utils.cpp:55:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' CG_utils.cpp:59:29: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' CG_utils.cpp:59:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' CG_utils.cpp:59:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' CG_utils.cpp:60:64: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' CG_utils.cpp:60:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' CG_utils.cpp:64:84: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' CG_utils.cpp:64:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' CG_utils.cpp:102:16: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:144:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:144:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:153:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:165:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:165:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:165:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' CG_utils.cpp:199:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' CG_utils.cpp:256:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >' CG_utils.cpp:273:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:278:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:286:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:286:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:290:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' CG_utils.cpp:290:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:299:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:384:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:396:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:396:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:396:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:396:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:402:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>' CG_utils.cpp:402:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' CG_utils.cpp:416:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Replicate, -1, -1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >' CG_utils.cpp:416:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:516:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' CG_utils.cpp:516:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>' CG_utils.cpp:516:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' CG_utils.cpp:516:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' CG_utils.cpp:516:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>' CG_utils.cpp:520:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>' CG_utils.cpp:520:262: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' CG_utils.cpp:520:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>' CG_utils.cpp:520:264: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>' CG_utils.cpp:520:265: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' CG_utils.cpp:521:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >' CG_utils.cpp:521:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' CG_utils.cpp:521:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:610:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:619:210: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:619:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' CG_utils.cpp:621:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:624:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:642:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:642:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:642:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' CG_utils.cpp:642:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' CG_utils.cpp:642:193: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>' CG_utils.cpp:642:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' CG_utils.cpp:642:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' CG_utils.cpp:746:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:747:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' CG_utils.cpp:747:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >' CG_utils.cpp:747:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:747:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >' CG_utils.cpp:763:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' CG_utils.cpp:837:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:855:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:859:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:859:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:859:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:993:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:993:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' CG_utils.cpp:999:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' CG_utils.cpp:999:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:999:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' CG_utils.cpp:999:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' CG_utils.cpp:999:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >' CG_utils.cpp:999:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1011:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1011:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1029:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1029:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1031:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1031:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:1033:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' CG_utils.cpp:1033:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:1063:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' CG_utils.cpp:1141:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:1276:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' CG_utils.cpp:1532:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' CG_utils.cpp:1049:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1063:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1063:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from 'struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 1; _StorageIndex = int]' CG_utils.cpp:1526:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1532:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1532:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:43:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:79:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:133:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:209:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:869:57: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:42:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' ./include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from 'Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:467:24: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' ./include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/Visitor.h:255:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1000:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1012:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ./include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ./include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1011:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:79:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:165:81: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:172:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:999:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:172:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:172:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:209:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Product >, Eigen::Matrix, 0>; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_spsolve.c -o cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_reach.c -o cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dfs.c -o cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gpboost.so boosting/boosting.o boosting/gbdt.o boosting/gbdt_model_text.o boosting/gbdt_prediction.o boosting/prediction_early_stop.o io/bin.o io/config.o io/config_auto.o io/dataset.o io/dataset_loader.o io/file_io.o io/json11.o io/metadata.o io/parser.o io/train_share_states.o io/tree.o metric/dcg_calculator.o metric/metric.o objective/objective_function.o network/ifaddrs_patch.o network/linker_topo.o network/linkers_mpi.o network/linkers_socket.o network/network.o treelearner/data_parallel_tree_learner.o treelearner/feature_parallel_tree_learner.o treelearner/gpu_tree_learner.o treelearner/linear_tree_learner.o treelearner/serial_tree_learner.o treelearner/tree_learner.o treelearner/voting_parallel_tree_learner.o c_api.o gpboost_R.o re_model.o sparse_matrix_utils.o GP_utils.o DF_utils.o Vecchia_utils.o CG_utils.o cs_spsolve.o cs_reach.o cs_dfs.o -fopenmp -pthread installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-gpboost/00new/gpboost/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gpboost) * installing *source* package 'callr' ... ** this is package 'callr' version '3.7.6' ** package 'callr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading R6Class r_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class r_session: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rcmd_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rscript_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (callr) * installing *source* package 'waldo' ... ** this is package 'waldo' version '0.6.2' ** package 'waldo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (waldo) * installing *source* package 'pkgbuild' ... ** this is package 'pkgbuild' version '1.4.8' ** package 'pkgbuild' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgbuild) * installing *source* package 'pkgload' ... ** this is package 'pkgload' version '1.5.2' ** package 'pkgload' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgload) * installing *source* package 'testthat' ... ** this is package 'testthat' version '3.3.2' ** package 'testthat' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-catch.cpp -o test-catch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-example.cpp -o test-example.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-runner.cpp -o test-runner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o testthat.so init.o test-catch.o test-example.o test-runner.o installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 972.586 52.416 1053.360 > print(Sys.time()) [1] "2026-05-29 02:14:16 MST" > (pkg_Version.tar.gz <- paste0(rev.dep,"_", deps.row[,"Version"], ".tar.gz")) [1] "gpboost_1.6.7.tar.gz" > (pkg.tar.gz <- file.path(local.CRAN, "src", "contrib", pkg_Version.tar.gz)) [1] "/projects/genomic-ml/CRAN/src/contrib/gpboost_1.6.7.tar.gz" > (rev.dep.release.tar.gz <- normalizePath(pkg.tar.gz, mustWork=TRUE)) [1] "/projects/genomic-ml/CRAN/src/contrib/gpboost_1.6.7.tar.gz" > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2026-05-29 02:14:16 MST" Installing package into '/tmp/th798/28732487/R-devel/618/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.4' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-05-29 02:14:46 MST" * using log directory '/tmp/th798/28732487/R-devel/618/gpboost.Rcheck' * using R Under development (unstable) (2026-05-28 r90085) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * current time: 2026-05-29 09:14:48 UTC * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.6.7' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... INFO specified C++17 * checking installed package size ... INFO installed size is 63.7Mb sub-directories of 1Mb or more: libs 62.7Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-05-29 02:32:11 MST" [1] "2026-05-29 02:32:11 MST" Installing package into '/tmp/th798/28732487/R-devel/618/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.99' ** using staged installation zlib 1.2.13 is available ok * checking if OpenMP works with CFLAGS='' LIBS=''... no * checking if OpenMP works with CFLAGS='$(SHLIB_OPENMP_CFLAGS)' LIBS='$(SHLIB_OPENMP_CFLAGS)'... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/28732487/R-devel/618/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-05-29 02:32:43 MST" * using log directory '/tmp/th798/28732487/R-devel/618/gpboost.Rcheck' * using R Under development (unstable) (2026-05-28 r90085) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * current time: 2026-05-29 09:32:45 UTC * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.6.7' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... INFO specified C++17 * checking installed package size ... INFO installed size is 63.7Mb sub-directories of 1Mb or more: libs 62.7Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-05-29 02:50:05 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_Under_development_unstable_2026-05-28_r90085/release_1.18.4.Rcheck/00check.log 2026-05-29 02:32:11.780258742 -0700 +++ R_Under_development_unstable_2026-05-28_r90085/master_1.18.99.1b998b10e8d6cef62909a1276686ac16c98f5c10.Rcheck/00check.log 2026-05-29 02:50:05.923003331 -0700 @@ -6,7 +6,7 @@ GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII -* current time: 2026-05-29 09:14:48 UTC +* current time: 2026-05-29 09:32:45 UTC * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.6.7' > library(data.table, lib.loc=R.home("library")) Attaching package: 'data.table' The following object is masked from 'package:base': %notin% > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + unlink(dt.git, recursive=TRUE, force=TRUE) + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } > WARNING: ignoring environment value of R_HOME R version 4.6.0 (2026-04-24) -- "Because it was There" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > (cargs <- commandArgs(trailingOnly=TRUE)) [1] "/scratch/th798/data.table-revdeps/2026-05-29/deps.csv" [2] "618" [3] "/scratch/th798/data.table-revdeps/2026-05-29/data.table_release_1.18.4.tar.gz" [4] "/scratch/th798/data.table-revdeps/2026-05-29/data.table_master_1.18.99.1b998b10e8d6cef62909a1276686ac16c98f5c10.tar.gz" > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "9", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2026-05-29/deps.csv", task.str = "618", release = "/scratch/th798/data.table-revdeps/2026-05-29/data.table_release_1.18.4.tar.gz", master = "/scratch/th798/data.table-revdeps/2026-05-29/data.table_master_1.18.99.1b998b10e8d6cef62909a1276686ac16c98f5c10.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/28732487/R-release/618" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache Failed with error: 'there is no package called 'R.cache'' > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (deps.row <- deps.df[task.id,]) Package task.id Version 618 gpboost 618 1.6.7 > (rev.dep <- deps.row$Package) [1] "gpboost" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/28732487/R-release/618/library" [2] "/projects/genomic-ml/R/R-release/library" > local.CRAN <- "/projects/genomic-ml/CRAN" > cran.url <- paste0("file://", local.CRAN) > #this should be in ~/.Rprofile too. > options(repos=c(CRAN=cran.url)) > print(Sys.time()) [1] "2026-05-29 02:50:12 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/28732487/R-release/618/library' (as 'lib' is unspecified) also installing the dependencies 'crayon', 'fs', 'glue', 'pkgbuild', 'rprojroot', 'diffobj', 'brio', 'callr', 'cli', 'desc', 'evaluate', 'jsonlite', 'lifecycle', 'magrittr', 'pkgload', 'praise', 'processx', 'ps', 'rlang', 'waldo', 'withr', 'R6', 'RJSONIO', 'testthat' * installing *source* package 'crayon' ... ** this is package 'crayon' version '1.5.3' ** package 'crayon' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crayon) * installing *source* package 'fs' ... ** this is package 'fs' version '2.1.0' ** package 'fs' successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/home/th798/.conda/envs/emacs1/include Using PKG_LIBS=-L/home/th798/.conda/envs/emacs1/lib -luv -lrt -ldl ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dir.cc -o dir.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error.cc -o error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file.cc -o file.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fs.cc -o fs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c getmode.cc -o getmode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c id.cc -o id.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cc -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c link.cc -o link.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c path.cc -o path.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.cc -o utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/getmode.cc -o unix/getmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/setmode.c -o bsd/setmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/strmode.c -o bsd/strmode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -I/home/th798/.conda/envs/emacs1/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bsd/reallocarray.c -o bsd/reallocarray.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fs.so dir.o error.o file.o fs.o getmode.o id.o init.o link.o path.o utils.o unix/getmode.o bsd/setmode.o bsd/strmode.o bsd/reallocarray.o -L/home/th798/.conda/envs/emacs1/lib -luv -lrt -ldl installing to /tmp/th798/28732487/R-release/618/library/00LOCK-fs/00new/fs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fs) * installing *source* package 'glue' ... ** this is package 'glue' version '1.8.1' ** package 'glue' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c trim.c -o trim.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glue.so glue.o init.o trim.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-glue/00new/glue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glue) * installing *source* package 'rprojroot' ... ** this is package 'rprojroot' version '2.1.1' ** package 'rprojroot' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rprojroot) * installing *source* package 'brio' ... ** this is package 'brio' version '1.1.5' ** package 'brio' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c brio.c -o brio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c file_line_endings.c -o file_line_endings.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file.c -o read_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_file_raw.c -o read_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c read_lines.c -o read_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file.c -o write_file.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_file_raw.c -o write_file_raw.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c write_lines.c -o write_lines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o brio.so brio.o file_line_endings.o init.o read_file.o read_file_raw.o read_lines.o write_file.o write_file_raw.o write_lines.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-brio/00new/brio/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (brio) * installing *source* package 'cli' ... ** this is package 'cli' version '3.6.6' ** package 'cli' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ansi.c -o ansi.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glue.c -o glue.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inst.c -o inst.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-unix.c -o keypress-unix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress-win.c -o keypress-win.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keypress.c -o keypress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c md5.c -o md5.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress-altrep.c -o progress-altrep.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c progress.c -o progress.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha1.c -o sha1.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sha256.c -o sha256.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tty.c -o tty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utf8.c -o utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vt.c -o vt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse.c -o vtparse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vtparse_table.c -o vtparse_table.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c win-utf8.c -o win-utf8.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c winfiles.c -o winfiles.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash.c -o xxhash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xxhash2.c -o xxhash2.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o cli.so ansi.o cleancall.o diff.o errors.o glue.o init.o inst.o keypress-unix.o keypress-win.o keypress.o md5.o progress-altrep.o progress.o sha1.o sha256.o thread.o tty.o utf8.o utils.o vt.o vtparse.o vtparse_table.o win-utf8.o winfiles.o xxhash.o xxhash2.o -lpthread installing to /tmp/th798/28732487/R-release/618/library/00LOCK-cli/00new/cli/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) * installing *source* package 'evaluate' ... ** this is package 'evaluate' version '1.0.5' ** package 'evaluate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evaluate) * installing *source* package 'jsonlite' ... ** this is package 'jsonlite' version '2.0.0' ** package 'jsonlite' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_array.c -o collapse_array.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_object.c -o collapse_object.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c collapse_pretty.c -o collapse_pretty.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c escape_chars.c -o escape_chars.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c integer64_to_na.c -o integer64_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_datelist.c -o is_datelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_recordlist.c -o is_recordlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c is_scalarlist.c -o is_scalarlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c modp_numtoa.c -o modp_numtoa.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c null_to_na.c -o null_to_na.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c num_to_char.c -o num_to_char.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parse.c -o parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c prettify.c -o prettify.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c push_parser.c -o push_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r-base64.c -o r-base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c register.c -o register.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c row_collapse.c -o row_collapse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose_list.c -o transpose_list.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c validate.c -o validate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl.c -o yajl/yajl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_alloc.c -o yajl/yajl_alloc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_buf.c -o yajl/yajl_buf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_encode.c -o yajl/yajl_encode.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_gen.c -o yajl/yajl_gen.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_lex.c -o yajl/yajl_lex.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_parser.c -o yajl/yajl_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -Iyajl/api -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c yajl/yajl_tree.c -o yajl/yajl_tree.o ar rcs yajl/libstatyajl.a yajl/yajl.o yajl/yajl_alloc.o yajl/yajl_buf.o yajl/yajl_encode.o yajl/yajl_gen.o yajl/yajl_lex.o yajl/yajl_parser.o yajl/yajl_tree.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o jsonlite.so base64.o collapse_array.o collapse_object.o collapse_pretty.o escape_chars.o integer64_to_na.o is_datelist.o is_recordlist.o is_scalarlist.o modp_numtoa.o null_to_na.o num_to_char.o parse.o prettify.o push_parser.o r-base64.o register.o row_collapse.o transpose_list.o validate.o -Lyajl -lstatyajl installing to /tmp/th798/28732487/R-release/618/library/00LOCK-jsonlite/00new/jsonlite/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for 'asJSON' with signature '"AsIs"': no definition for class "AsIs" in method for 'asJSON' with signature '"ITime"': no definition for class "ITime" in method for 'asJSON' with signature '"hms"': no definition for class "hms" in method for 'asJSON' with signature '"json"': no definition for class "json" in method for 'asJSON' with signature '"integer64"': no definition for class "integer64" in method for 'asJSON' with signature '"pairlist"': no definition for class "pairlist" in method for 'asJSON' with signature '"blob"': no definition for class "blob" in method for 'asJSON' with signature '"scalar"': no definition for class "scalar" in method for 'asJSON' with signature '"sf"': no definition for class "sf" in method for 'asJSON' with signature '"sfc"': no definition for class "sfc" in method for 'asJSON' with signature '"vctrs_vctr"': no definition for class "vctrs_vctr" ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jsonlite) * installing *source* package 'magrittr' ... ** this is package 'magrittr' version '2.0.5' ** package 'magrittr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pipe.c -o pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o magrittr.so pipe.o utils.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-magrittr/00new/magrittr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magrittr) * installing *source* package 'praise' ... ** this is package 'praise' version '1.0.0' ** package 'praise' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (praise) * installing *source* package 'ps' ... ** this is package 'ps' version '1.9.3' ** package 'ps' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall px.c -o px /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-common.c -o api-common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c common.c -o common.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c extra.c -o extra.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dummy.c -o dummy.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c error-codes.c -o error-codes.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c posix.c -o posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-posix.c -o api-posix.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c linux.c -o linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api-linux.c -o api-linux.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o cleancall.o posix.o api-posix.o linux.o api-linux.o installing via 'install.libs.R' to /tmp/th798/28732487/R-release/618/library/00LOCK-ps/00new/ps ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ps) * installing *source* package 'rlang' ... ** this is package 'rlang' version '1.2.0' ** package 'rlang' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c capture.c -o capture.o touch internal.c /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.c -o internal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlang.c -o rlang.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./rlang/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c version.c -o version.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rlang.so capture.o internal.o rlang.o version.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-rlang/00new/rlang/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlang) * installing *source* package 'withr' ... ** this is package 'withr' version '3.0.2' ** package 'withr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (withr) * installing *source* package 'R6' ... ** this is package 'R6' version '2.6.1' ** package 'R6' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R6) * installing *source* package 'RJSONIO' ... ** this is package 'RJSONIO' version '2.0.0' ** package 'RJSONIO' successfully unpacked and MD5 sums checked ** using staged installation Trying to find libjson.h header file checking for gcc... /packages/gcc/12.2.0-nnbserq/bin/gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to enable C11 features... none needed USE_LOCAL = "" Minor Version: 6 Using local libjson code. Copying files from src/libjson/Source /tmp/th798/28732487/RtmpeFcIrB/R.INSTALL25996a449e81ec/RJSONIO JSONAllocator.cpp JSONChildren.cpp JSONDebug.cpp JSONIterators.cpp JSONMemory.cpp JSONNode.cpp JSONNode_Mutex.cpp JSONPreparse.cpp JSONStream.cpp JSONValidator.cpp JSONWorker.cpp JSONWriter.cpp internalJSONNode.cpp libjson.cpp /usr/bin/cp src/libjson/Source/JSONAllocator.cpp src/libjson/Source/JSONChildren.cpp src/libjson/Source/JSONDebug.cpp src/libjson/Source/JSONIterators.cpp src/libjson/Source/JSONMemory.cpp src/libjson/Source/JSONNode.cpp src/libjson/Source/JSONNode_Mutex.cpp src/libjson/Source/JSONPreparse.cpp src/libjson/Source/JSONStream.cpp src/libjson/Source/JSONValidator.cpp src/libjson/Source/JSONWorker.cpp src/libjson/Source/JSONWriter.cpp src/libjson/Source/internalJSONNode.cpp src/libjson/Source/libjson.cpp src/ /usr/bin/cp src/libjson/JSONOptions.h src/ configure: creating ./config.status config.status: creating src/Makevars config.status: creating tools/cleanup ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ConvertUTF.c -o ConvertUTF.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONAllocator.cpp -o JSONAllocator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONChildren.cpp -o JSONChildren.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONDebug.cpp -o JSONDebug.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONIterators.cpp -o JSONIterators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONMemory.cpp -o JSONMemory.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONNode.cpp -o JSONNode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONNode_Mutex.cpp -o JSONNode_Mutex.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONPreparse.cpp -o JSONPreparse.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONStream.cpp -o JSONStream.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONValidator.cpp -o JSONValidator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONWorker.cpp -o JSONWorker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSONWriter.cpp -o JSONWriter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c JSON_parser.c -o JSON_parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RJSON.c -o RJSON.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internalJSONNode.cpp -o internalJSONNode.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c libjson.cpp -o libjson.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rlibjson.c -o rlibjson.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rparser.c -o rparser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RJSONIO.so ConvertUTF.o JSONAllocator.o JSONChildren.o JSONDebug.o JSONIterators.o JSONMemory.o JSONNode.o JSONNode_Mutex.o JSONPreparse.o JSONStream.o JSONValidator.o JSONWorker.o JSONWriter.o JSON_parser.o RJSON.o init.o internalJSONNode.o libjson.o rlibjson.o rparser.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-RJSONIO/00new/RJSONIO/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RJSONIO) * installing *source* package 'diffobj' ... ** this is package 'diffobj' version '0.3.6' ** package 'diffobj' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diff.c -o diff.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c diffobj.c -o diffobj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o diffobj.so diff.o diffobj.o init.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-diffobj/00new/diffobj/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diffobj) * installing *source* package 'desc' ... ** this is package 'desc' version '1.4.3' ** package 'desc' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (desc) * installing *source* package 'lifecycle' ... ** this is package 'lifecycle' version '1.0.5' ** package 'lifecycle' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lifecycle) * installing *source* package 'processx' ... ** this is package 'processx' version '3.9.0' ** package 'processx' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -Wall tools/px.c -o tools/px /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -I../inst/include -Wall tools/sock.c -o tools/sock /packages/gcc/12.2.0-nnbserq/bin/gcc -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 supervisor/supervisor.c \ supervisor/utils.c -o supervisor/supervisor /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c client.c -o client.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c errors.c -o errors.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o client.so base64.o client.o errors.o \ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c poll.c -o poll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-connection.c -o processx-connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c processx-vector.c -o processx-vector.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c create-time.c -o create-time.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/childlist.c -o unix/childlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/connection.c -o unix/connection.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/processx.c -o unix/processx.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/sigchld.c -o unix/sigchld.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/utils.c -o unix/utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c unix/named_pipe.c -o unix/named_pipe.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cleancall.c -o cleancall.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o processx.so init.o poll.o errors.o processx-connection.o processx-vector.o create-time.o base64.o unix/childlist.o unix/connection.o unix/processx.o unix/sigchld.o unix/utils.o unix/named_pipe.o cleancall.o installing via 'install.libs.R' to /tmp/th798/28732487/R-release/618/library/00LOCK-processx/00new/processx ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (processx) * installing *source* package 'gpboost' ... ** this is package 'gpboost' version '1.6.7' ** package 'gpboost' successfully unpacked and MD5 sums checked ** using staged installation checking location of R... /home/th798/R/R-release checking whether MM_PREFETCH works... yes checking whether MM_MALLOC works... yes configure: creating ./config.status config.status: creating src/Makevars ** libs specified C++17 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/boosting.cpp -o boosting/boosting.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/dart.hpp:16, from boosting/boosting.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt.cpp -o boosting/gbdt.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/gbdt.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_model_text.cpp -o boosting/gbdt_model_text.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from boosting/gbdt_model_text.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/gbdt_prediction.cpp -o boosting/gbdt_prediction.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt_prediction.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c boosting/prediction_early_stop.cpp -o boosting/prediction_early_stop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/bin.cpp -o io/bin.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config.cpp -o io/config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/config_auto.cpp -o io/config_auto.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset.cpp -o io/dataset.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/dataset_loader.cpp -o io/dataset_loader.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/file_io.cpp -o io/file_io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/json11.cpp -o io/json11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/metadata.cpp -o io/metadata.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/parser.cpp -o io/parser.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/train_share_states.cpp -o io/train_share_states.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c io/tree.cpp -o io/tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/dcg_calculator.cpp -o metric/dcg_calculator.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/dcg_calculator.cpp:5: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c metric/metric.cpp -o metric/metric.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/metric.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c objective/objective_function.cpp -o objective/objective_function.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from objective/objective_function.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/ifaddrs_patch.cpp -o network/ifaddrs_patch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linker_topo.cpp -o network/linker_topo.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_mpi.cpp -o network/linkers_mpi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/linkers_socket.cpp -o network/linkers_socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c network/network.cpp -o network/network.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/data_parallel_tree_learner.cpp -o treelearner/data_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/feature_parallel_tree_learner.cpp -o treelearner/feature_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/gpu_tree_learner.cpp -o treelearner/gpu_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/linear_tree_learner.cpp -o treelearner/linear_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/Dense:1, from treelearner/linear_tree_learner.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' treelearner/linear_tree_learner.cpp:349:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Inverse > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Inverse > > >' treelearner/linear_tree_learner.cpp:349:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>' treelearner/linear_tree_learner.cpp:349:63: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:493:28: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/FullPivLU.h:493:44: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:517:47: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >' ./include/Eigen/src/LU/FullPivLU.h:518:35: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:545:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:549:15: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:103: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:559:85: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:519:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Inverse > >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:545:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/LU/FullPivLU.h:549:23: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/LU/FullPivLU.h:557:34: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/LU/FullPivLU.h:853:60: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/FullPivLU.h:853:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Inverse > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Inverse > >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from 'void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:122:7: required from 'Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:468:10: required from 'Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/FullPivLU.h:870:10: required from 'const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' treelearner/linear_tree_learner.cpp:349:50: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/FullPivLU.h:767:22: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/LU/FullPivLU.h:774:59: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/LU/FullPivLU.h:785:55: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 5]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]' ./include/Eigen/src/LU/FullPivLU.h:772:20: required from 'void Eigen::FullPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/Core/Solve.h:147:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' treelearner/linear_tree_learner.cpp:349:21: required from 'void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]' treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/serial_tree_learner.cpp -o treelearner/serial_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from treelearner/serial_tree_learner.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/tree_learner.cpp -o treelearner/tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c treelearner/voting_parallel_tree_learner.cpp -o treelearner/voting_parallel_tree_learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c c_api.cpp -o c_api.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from c_api.cpp:12: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]' ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gpboost_R.cpp -o gpboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c re_model.cpp -o re_model.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from re_model.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/likelihoods.h:14127:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:2029:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2035:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2048:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2048:40: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2048:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2152:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2152:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2158:42: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2158:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2184:128: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2189:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:2296:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2308:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2308:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2324:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2324:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2324:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2330:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2330:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2336:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2353:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2353:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2353:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:2412:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2417:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2419:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:2518:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:2518:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2593:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2593:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2606:45: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2607:74: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2607:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:2616:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:2619:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2619:49: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2619:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:2621:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:94: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2622:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2622:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2622:33: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2622:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2622:137: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2621:71: recursively required by substitution of 'template const Eigen::Solve, 5>, Other> Eigen::TriangularView, 5>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:2621:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:2627:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2628:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2639:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:2645:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/GPBoost/likelihoods.h:2645:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2653:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2656:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2656:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2658:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:2707:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:2753:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2769:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:2770:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:2771:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:2845:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:2849:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:2852:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:2858:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2860:134: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:2860:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:2860:190: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:2868:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2868:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:2912:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:2915:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:2996:106: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:2996:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3042:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3064:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3312:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3313:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3317:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3344:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3344:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/GPBoost/likelihoods.h:3344:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:3366:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:3366:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3428:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/GPBoost/likelihoods.h:3528:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3528:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:3706:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 2>' ./include/GPBoost/likelihoods.h:3724:98: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:3757:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3757:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:3803:114: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:3803:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3803:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3803:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3803:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:3807:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3810:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:3810:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:3850:44: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3855:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:3864:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:3874:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:3893:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3906:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:3906:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/GPBoost/likelihoods.h:3915:104: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:3955:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4013:82: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:4091:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:4091:152: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/GPBoost/likelihoods.h:4352:207: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4355:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4377:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4384:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4411:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:4422:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4438:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4442:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4443:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4444:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4445:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4446:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4446:163: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4448:178: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4449:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:261: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4454:355: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:184: recursively required by substitution of 'template const Eigen::Solve >, 6>, Other> Eigen::TriangularView >, 6>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4454:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Other> Eigen::TriangularView, 1>::solve(const Eigen::MatrixBase&) const [with Other = ]' ./include/GPBoost/likelihoods.h:4454:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Product, Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0> > >' ./include/GPBoost/likelihoods.h:4454:357: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4466:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:4467:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4537:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4538:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:4552:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4574:82: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4574:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4574:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4589:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:4589:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4698:105: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4698:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4738:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4826:140: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4826:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4826:203: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4826:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4827:129: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4828:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4829:70: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4829:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4829:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4829:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4830:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:4830:177: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4843:88: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4843:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4843:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4844:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:4859:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:4868:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4872:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:138: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4887:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4892:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4893:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4894:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4895:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:4897:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:4919:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:4974:101: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4977:54: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:4977:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:4977:165: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:4978:58: recursively required by substitution of 'template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/likelihoods.h:4978:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:4978:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:4978:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:5136:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5161:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:5168:141: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5168:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5169:275: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5175:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5176:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5177:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5178:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>' ./include/GPBoost/likelihoods.h:5179:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:5197:184: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:5197:95: recursively required by substitution of 'template const Eigen::Solve, 1, Eigen::AMDOrdering >, Rhs> Eigen::SparseSolverBase, 1, Eigen::AMDOrdering > >::solve(const Eigen::SparseMatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:5197:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5446:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ./include/GPBoost/likelihoods.h:5632:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5632:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5632:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5632:204: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5635:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5635:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:5647:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/likelihoods.h:5666:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/likelihoods.h:5666:186: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:5666:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:5859:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/likelihoods.h:5859:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5882:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5883:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:5888:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/GPBoost/likelihoods.h:5915:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/GPBoost/likelihoods.h:5916:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:6114:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' ./include/GPBoost/likelihoods.h:6118:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6118:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/likelihoods.h:6158:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6263:114: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6295:68: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6321:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6347:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6398:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6410:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6420:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/likelihoods.h:6462:69: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6496:115: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6510:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6522:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>' ./include/GPBoost/likelihoods.h:6522:123: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/likelihoods.h:6531:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:6805:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6926:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:6960:85: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:6960:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6960:175: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7052:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:7101:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/likelihoods.h:7106:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7106:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/GPBoost/likelihoods.h:7107:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/GPBoost/likelihoods.h:7567:149: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/likelihoods.h:7572:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:7648:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7817:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/likelihoods.h:7838:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7927:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:10363:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13070:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:13106:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13145:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:13215:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:13215:164: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/GPBoost/likelihoods.h:13215:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:13252:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>' ./include/GPBoost/likelihoods.h:13388:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:130: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:13391:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13417:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' ./include/GPBoost/likelihoods.h:13452:97: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/GPBoost/likelihoods.h:13464:107: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ./include/GPBoost/likelihoods.h:13473:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13473:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/likelihoods.h:13480:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13480:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13489:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ./include/GPBoost/likelihoods.h:13528:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/likelihoods.h:13551:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13551:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13560:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/likelihoods.h:13567:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:13569:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:13607:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:13618:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/GPBoost/likelihoods.h:13636:104: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/likelihoods.h:13636:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:13654:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>' ./include/unconstrained/nm.hpp:207:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >' ./include/unconstrained/nm.hpp:208:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/unconstrained/nm.hpp:212:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >' ./include/unconstrained/nm.hpp:214:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >' ./include/unconstrained/nm.hpp:214:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:229:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:267:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >' ./include/unconstrained/nm.hpp:267:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/unconstrained/nm.hpp:285:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::member_sum, 0> >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >' ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:613:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >' ./include/GPBoost/optim_utils.h:692:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:1481:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1806:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:1859:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2122:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2124:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2125:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2174:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/GPBoost/re_model_template.h:2174:304: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2187:106: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2188:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2198:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>' ./include/GPBoost/re_model_template.h:2239:75: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' ./include/GPBoost/re_model_template.h:2239:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:3489:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:4294:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4295:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4296:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4316:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4550:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4769:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/re_model_template.h:4829:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/GPBoost/re_model_template.h:4829:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >' ./include/GPBoost/re_model_template.h:4829:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4833:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4833:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/GPBoost/re_model_template.h:4833:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:6224:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:6244:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6302:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:6308:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6388:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/GPBoost/re_model_template.h:6798:16: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6798:16: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Matrix, 0> > >': ./include/GPBoost/re_model_template.h:6802:18: recursively required by substitution of 'template std::pair >::pair(std::piecewise_construct_t, std::tuple<_UTypes ...>, std::tuple<_UTypes ...>) [with _Args1 = ; _Args2 = ]' ./include/GPBoost/re_model_template.h:6802:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' ./include/GPBoost/re_model_template.h:7327:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:7904:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8189:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8189:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/re_model_template.h:8192:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:8192:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:8858:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/re_model_template.h:8858:133: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:9200:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9266:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9327:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9377:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9564:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9565:188: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:9639:179: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:9728:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:9729:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10016:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:10021:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ./include/GPBoost/re_model_template.h:10084:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' ./include/GPBoost/re_model_template.h:10084:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' ./include/GPBoost/re_model_template.h:10084:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >' ./include/GPBoost/re_model_template.h:10084:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:10704:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11067:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/GPBoost/re_model_template.h:11067:81: recursively required by substitution of 'template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]' ./include/GPBoost/re_model_template.h:11067:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11067:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, false> >' ./include/GPBoost/re_model_template.h:11345:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >' ./include/GPBoost/re_model_template.h:11345:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/GPBoost/re_model_template.h:11455:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11456:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' re_model.cpp:289:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:1013:17: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:3359:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/re_model_template.h:3458:74: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:3489:45: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3678:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/re_model_template.h:3730:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_model_template.h:3763:63: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:3678:20: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:3678:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:3678:50: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4260:54: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:4294:115: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4295:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:4296:74: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:4298:48: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4316:42: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4336:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:4336:41: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:4344:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:4492:30: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4550:63: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4574:78: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4577:64: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:4336:62: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4336:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:4336:41: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/GPBoost/re_model_template.h:4344:81: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >' ./include/GPBoost/re_model_template.h:4344:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4351:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/re_model_template.h:4410:61: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4574:78: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/GPBoost/re_model_template.h:4577:43: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4577:64: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >' ./include/GPBoost/re_model_template.h:4336:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >' ./include/GPBoost/re_model_template.h:4336:41: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/re_model_template.h:4344:70: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:4351:33: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:58: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:4388:37: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4574:78: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:4577:43: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:4577:64: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:4769:100: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4787:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/re_model_template.h:4787:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1157:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:4787:67: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1160:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:9194:97: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:9200:54: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:9203:112: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9205:100: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:9266:106: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9301:41: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:2644:26: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:2656:65: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:613:108: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:692:105: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1811:53: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1859:54: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:1971:84: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10181:32: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1406:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10206:46: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1406:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:10208:34: required from 'void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1406:9: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:7904:61: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/re_model_template.h:8172:50: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1426:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:8189:139: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1426:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:8192:75: required from 'void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1426:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:9210:60: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:1845:117: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1845:130: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1845:117: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:1845:130: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2763:58: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Block, -1, 1, true>, 1>' ./include/GPBoost/re_model_template.h:2849:127: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/GPBoost/re_model_template.h:2814:80: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:653:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' ./include/GPBoost/re_model_template.h:2814:88: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:653:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' ./include/GPBoost/re_model_template.h:2814:94: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:653:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >' ./include/GPBoost/re_model_template.h:8858:140: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/re_model_template.h:8876:61: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >' ./include/GPBoost/re_model_template.h:10084:59: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:3457:26: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1339:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3484:76: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from 'class Eigen::SparseView >' ./include/GPBoost/utils.h:343:22: required from 'void GPBoost::ConvertTo_T_mat_FromDense(den_mat_t, T_mat1&) [with T_mat1 = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3490:41: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1339:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3497:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 2> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:3594:17: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6729:22: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 5>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 5>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 5>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 5>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6733:17: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' ./include/GPBoost/likelihoods.h:6742:75: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>' ./include/GPBoost/likelihoods.h:6805:56: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/likelihoods.h:6925:68: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:6928:67: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:6931:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6934:36: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6937:51: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:6947:78: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/likelihoods.h:6960:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:6961:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:7065:86: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:27: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:7116:92: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:7117:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:7121:72: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:7137:30: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:7149:50: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:7354:82: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/GPBoost/likelihoods.h:7448:28: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:11059:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11059:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11059:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11067:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Matrix > >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:11162:97: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11196:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:11196:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:11280:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:11309:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:11309:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:11315:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:11335:100: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:11339:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:11397:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11446:74: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:11472:30: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:10433:92: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ./include/GPBoost/re_model_template.h:10438:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/GPBoost/re_model_template.h:10438:54: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> > >' ./include/GPBoost/re_model_template.h:10619:75: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:10658:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/re_model_template.h:10704:107: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10907:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' ./include/Eigen/src/Core/VectorwiseOp.h:594:36: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ./include/GPBoost/re_model_template.h:4120:33: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1339:54: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3497:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' ./include/GPBoost/re_model_template.h:3637:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7074:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:7161:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:11059:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11059:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11059:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11196:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:11196:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:11280:103: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::SparseMatrix, 0> >' ./include/GPBoost/re_model_template.h:11280:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' ./include/GPBoost/re_model_template.h:11303:86: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >' ./include/GPBoost/re_model_template.h:11309:127: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/GPBoost/re_model_template.h:11309:92: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:11339:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/re_model_template.h:11397:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:10612:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:74: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:88: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7074:105: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:73: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:84: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:7161:97: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/re_model_template.h:11059:108: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/re_model_template.h:11059:82: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>' ./include/GPBoost/re_model_template.h:11059:37: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11196:120: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose, Eigen::Matrix, 0> > >' ./include/GPBoost/re_model_template.h:11196:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:11280:60: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>' ./include/GPBoost/re_model_template.h:11339:77: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>' ./include/GPBoost/re_model_template.h:11397:69: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>' ./include/GPBoost/re_model_template.h:10612:96: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_model_template.h:10613:45: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:10907:99: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4263:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4263:131: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4301:67: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4357:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, true> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4357:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, false> > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4410:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:7997:62: required from 'void GPBoost::Likelihood::CalcVarLaplaceApproxOnlyOneGPCalculationsOnREScale(std::shared_ptr<_Tp>, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4518:84: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:607:75: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4344:89: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4357:93: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4410:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4769:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:4769:20: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' ./include/GPBoost/re_comp.h:871:22: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6839:75: required from 'void GPBoost::REModelTemplate::InitializeMatricesForUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:444:5: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:540:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:540:63: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:540:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:549:31: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:560:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1128:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>' ./include/GPBoost/re_model_template.h:9327:57: required from 'void GPBoost::REModelTemplate::CalcYtilde(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:2622:6: required from 'void GPBoost::REModelTemplate::CalcCovFactorOrModeAndNegLL(const GPBoost::vec_t&, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1268:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >' ./include/GPBoost/optim_utils.h:107:103: required from 'double GPBoost::EvalLLforOptimLib(const vec_t&, vec_t*, void*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:643:13: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/LBFGS.h:175:31: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::InnerStride<1> >' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/re_model_template.h:2066:53: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2122:81: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2124:125: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2152:50: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2151:131: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/GPBoost/re_model_template.h:2174:161: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2187:108: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:2198:117: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:2343:105: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/re_model_template.h:2347:114: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/re_model_template.h:2365:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2396:60: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/re_model_template.h:2404:39: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:6183:40: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::SingleRange>' ./include/GPBoost/re_model_template.h:6094:11: required from 'void GPBoost::REModelTemplate::GetYAux(GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1858:13: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:5427:48: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5632:82: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5635:30: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5637:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:5661:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5666:195: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5670:110: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5741:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' ./include/GPBoost/likelihoods.h:5828:104: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:5846:67: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:5881:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/likelihoods.h:5885:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:5887:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:5915:88: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' ./include/GPBoost/likelihoods.h:4342:60: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4352:34: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:4355:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4362:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:4383:188: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4445:116: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4448:180: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/likelihoods.h:4466:123: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4555:28: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/GPBoost/likelihoods.h:4574:39: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:4692:77: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:4698:105: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:4703:78: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4707:97: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:4738:46: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:4771:83: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:4829:130: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4850:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' ./include/GPBoost/likelihoods.h:4859:55: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >' ./include/GPBoost/likelihoods.h:4868:112: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/GPBoost/likelihoods.h:4872:45: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:4887:147: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:4896:65: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:4974:99: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/likelihoods.h:4978:105: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:5107:37: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:5131:40: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:5161:117: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:5163:29: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/likelihoods.h:5166:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>' ./include/GPBoost/likelihoods.h:5168:68: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 1>' ./include/GPBoost/likelihoods.h:5169:87: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >' ./include/GPBoost/likelihoods.h:5178:112: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >' ./include/GPBoost/likelihoods.h:5197:95: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:3738:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/likelihoods.h:3773:64: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, false>, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3783:65: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >' ./include/GPBoost/likelihoods.h:3803:73: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3809:70: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >' ./include/GPBoost/likelihoods.h:3855:57: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, false>, 0>' ./include/GPBoost/likelihoods.h:3864:98: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:3937:65: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Block, -1, 1, true>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/GPBoost/likelihoods.h:3955:36: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3958:25: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:4018:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:4091:123: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3524:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3569:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >' ./include/GPBoost/re_model_template.h:4829:168: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8649:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1343:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >' ./include/GPBoost/re_model_template.h:4833:97: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8649:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1343:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/GPBoost/re_model_template.h:4836:33: required from 'static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8649:23: required from 'void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1343:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1356:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9564:107: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:9565:136: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/re_model_template.h:9571:72: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:9637:91: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/GPBoost/re_model_template.h:9734:80: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' ./include/GPBoost/re_model_template.h:9890:74: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:10016:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/re_model_template.h:10021:73: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1445:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1446:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1481:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:540:12: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:540:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:560:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/re_model_template.h:2152:50: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2151:131: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:6175:25: required from 'void GPBoost::REModelTemplate::CalcPsiInv(T_mat&, GPBoost::data_size_t, bool) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3524:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3524:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3569:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:540:30: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:560:24: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/re_model_template.h:2151:131: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>' ./include/GPBoost/re_model_template.h:6224:39: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>' ./include/GPBoost/likelihoods.h:3524:86: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:3524:50: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' ./include/GPBoost/likelihoods.h:3557:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:3569:62: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 0>' ./include/GPBoost/re_model_template.h:9899:43: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Only_Grouped_REs_Woodbury(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool, int) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9475:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/GPBoost/CG_utils.h:655:12: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/GPBoost/CG_utils.h:668:31: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/GPBoost/CG_utils.h:685:53: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' ./include/GPBoost/CG_utils.h:714:10: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:8876:47: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:8876:47: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:8876:47: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/GPBoost/likelihoods.h:3064:35: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/GPBoost/likelihoods.h:3103:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >' ./include/GPBoost/likelihoods.h:3106:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3146:75: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0> >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0> >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0> >, Eigen::Matrix, 1>' ./include/GPBoost/likelihoods.h:2555:53: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2608:54: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2619:49: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > > >' ./include/GPBoost/likelihoods.h:2621:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:2644:47: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:2753:42: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:2770:110: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>' ./include/GPBoost/likelihoods.h:2845:61: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:2858:69: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2868:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:3303:41: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ./include/GPBoost/likelihoods.h:3312:44: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 1>' ./include/GPBoost/likelihoods.h:3366:58: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:3428:90: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/likelihoods.h:2175:39: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:2180:36: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/GPBoost/likelihoods.h:2417:27: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8796:93: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2031:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2040:26: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_model_template.h:6112:63: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8865:19: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>' ./include/GPBoost/likelihoods.h:2031:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2040:26: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/likelihoods.h:2031:71: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:685:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:2040:26: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:685:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/GPBoost/re_model_template.h:6257:41: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/GPBoost/re_model_template.h:6308:59: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/GPBoost/re_model_template.h:6311:117: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >' ./include/GPBoost/re_model_template.h:6313:91: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/GPBoost/cov_fcts.h:718:17: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1260:53: required from 'void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3494:48: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > > >': ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from 'class Eigen::SparseView, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/GPBoost/cov_fcts.h:751:66: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1260:53: required from 'void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:3494:48: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:10363:85: required from 'void GPBoost::Likelihood::CalcInformationLogLik(const double*, const int*, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/likelihoods.h:7270:6: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:7448:12: required from 'void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, int, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:3990:62: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:11397:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:7926:71: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:11548:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Block, -1, -1, true>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, -1, true>, 2>' ./include/GPBoost/likelihoods.h:6158:40: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>' ./include/GPBoost/likelihoods.h:6295:48: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:6321:81: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >' ./include/GPBoost/likelihoods.h:6358:59: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/GPBoost/likelihoods.h:6398:98: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:6522:121: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:10909:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:10909:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:514:38: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10409:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:10855:67: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>' ./include/GPBoost/likelihoods.h:6632:77: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6039:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10890:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>' ./include/GPBoost/likelihoods.h:6632:77: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/GPBoost/likelihoods.h:6039:37: required from 'void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10890:56: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:4350:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:4350:71: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:1362:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4669:65: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1173:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ./include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ./include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ./include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:259:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:28: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:261:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:275:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4894:33: required from 'void GPBoost::REModelTemplate::RedetermineNearestNeighborsVecchiaInducingPointsFITC(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1262:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' ./include/LBFGSpp/BFGSMat.h:173:41: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:170:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/LBFGSpp/BFGSMat.h:119:56: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>' ./include/LBFGSpp/BFGSMat.h:119:59: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/Ref.h:341:77: required from 'class Eigen::Ref, 0, Eigen::OuterStride<> >' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1818:96: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1819:55: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2081:104: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2081:104: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/GPBoost/likelihoods.h:13379:34: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 1> >' ./include/GPBoost/likelihoods.h:13386:50: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 1>' ./include/GPBoost/likelihoods.h:13391:37: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13452:103: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13464:113: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:13473:115: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >' ./include/GPBoost/likelihoods.h:13480:83: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5438:27: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 1>, Eigen::Matrix >' ./include/GPBoost/likelihoods.h:13528:124: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13533:106: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 1>, Eigen::Block, -1, 1, true> >' ./include/GPBoost/likelihoods.h:13537:109: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:13569:84: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >' ./include/GPBoost/likelihoods.h:13570:89: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/GPBoost/likelihoods.h:13636:104: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxParVecchia(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5533:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' ./include/GPBoost/likelihoods.h:13656:90: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxParVecchia(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5533:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:5606:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>' ./include/Eigen/src/Core/Redux.h:510:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4977:171: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7946:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1337:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7888:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7912:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/sparse_matrix_utils.h:416:29: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:2134:99: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2327:87: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>' ./include/GPBoost/likelihoods.h:13145:82: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7687:90: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_Vecchia(const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/likelihoods.h:3192:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' ./include/GPBoost/likelihoods.h:13215:73: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/GPBoost/likelihoods.h:13242:78: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >' ./include/GPBoost/likelihoods.h:13255:112: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' ./include/GPBoost/likelihoods.h:13289:63: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' ./include/GPBoost/likelihoods.h:13307:66: required from 'void GPBoost::Likelihood::CalcLogDetStochVecchia(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:3225:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/GPBoost/likelihoods.h:7781:72: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FSVA(const GPBoost::den_mat_t*, GPBoost::den_mat_t, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::den_mat_t, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/likelihoods.h:2810:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' ./include/GPBoost/likelihoods.h:7817:101: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FITC(const GPBoost::den_mat_t*, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3418:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/GPBoost/likelihoods.h:7838:82: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FITC(const GPBoost::den_mat_t*, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3418:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, -1, 1, false>, 1>' ./include/GPBoost/likelihoods.h:7567:96: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_GroupedRE(const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2253:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>' ./include/GPBoost/likelihoods.h:7568:86: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_GroupedRE(const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2253:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' ./include/GPBoost/likelihoods.h:7572:101: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_GroupedRE(const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2253:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8791:65: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' ./include/GPBoost/likelihoods.h:7648:110: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_OnlyOneGroupedRE() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/likelihoods.h:2449:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8796:93: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2031:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]' ./include/GPBoost/likelihoods.h:2031:32: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:8800:62: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:296:68: required from 'void GPBoost::CovFunction::ScaleCoordinates_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:820:6: required from 'double GPBoost::CovFunction::CalculateCovarianceOneEntry(double, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1375:68: required from 'double GPBoost::RECompGP::GetZSigmaZtij(int, int) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3507:75: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7106:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7106:52: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7107:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7107:83: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7108:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7108:49: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7180:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7180:142: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11015:64: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11323:70: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11324:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, -1, 1, false> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11345:89: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7949:53: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:11548:53: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:517:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10409:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from 'Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]' ./include/GPBoost/re_comp.h:517:17: required from 'void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:10409:33: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:303:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/nm.hpp:307:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_comp.h:1758:49: required from 'bool GPBoost::RECompGP::HasDuplicatedCoords() const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:7351:34: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Visitor.h:302:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1128:45: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1131:75: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2089:107: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2090:52: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2126:114: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2127:158: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2129:74: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2244:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2245:92: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:5872:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3821:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1445:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/sparse_matrix_utils.h:416:37: required from 'void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]' ./include/GPBoost/re_model_template.h:2048:40: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2216:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:724:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:474:39: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8764:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:482:52: required from 'void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8764:40: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2996:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2593:154: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3375:40: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:339:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ./include/Eigen/src/Cholesky/LLT.h:339:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:11001:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ./include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:170:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/LBFGSpp/BKLDLT.h:333:83: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:362:33: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:362:39: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/LBFGSpp/BKLDLT.h:368:92: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/LBFGSpp/BKLDLT.h:368:103: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1838:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1838:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7888:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1846:60: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2743:70: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' ./include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 1; bool Transposed = false]' ./include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; int ProductTag = 8; MatrixShape = Eigen::SparseShape]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/re_model_template.h:6112:23: required from 'void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_aux>::value || std::is_same, T_aux>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8865:19: required from 'void GPBoost::REModelTemplate::CalcCovFactor(bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3085:5: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:682:34: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7180:93: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:7188:60: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >' ./include/Eigen/src/SparseCore/SparseUtil.h:121:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:6158:31: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Sparse>' ./include/Eigen/src/SparseCore/SparseProduct.h:72:53: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/GPBoost/likelihoods.h:6158:31: required from 'void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10876:59: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:4410:76: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:6803:73: required from 'void GPBoost::REModelTemplate::InitializeMatricesForUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:444:5: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2401:106: required from 'void GPBoost::REModelTemplate::CalcGradPars_Only_Grouped_REs_Woodbury_GaussLikelihood_Cluster_i(const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1828:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4479:128: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4589:116: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4180:74: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1937:106: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1356:37: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1445:101: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1446:100: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1481:92: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2593:154: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:1365:130: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4669:65: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1173:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::InnerStride<1> >' ./include/Eigen/src/Core/CoreEvaluators.h:884:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BFGSMat.h:93:32: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:1818:96: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:13654:114: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivAuxParVecchia(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&, const std::vector > > >&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5533:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7946:42: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1337:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7888:85: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:7912:78: required from 'void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1420:7: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:13070:57: required from 'void GPBoost::Likelihood::CalcLogDetStochFSVA(const GPBoost::data_size_t&, const int&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const std::vector > > >&, const GPBoost::vec_t&, const GPBoost::chol_den_mat_t&, const GPBoost::vec_t&, bool&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:2886:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:335:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7116:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7116:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:11324:39: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product >, Eigen::Matrix, 0> >' ./include/Eigen/src/SparseCore/SparseAssign.h:200:35: required from 'static typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type Eigen::internal::assignment_from_dense_op_sparse::run(DstXprType&, const Eigen::CwiseBinaryOp, const Lhs, const Rhs>&, const Eigen::internal::assign_op&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 2>; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double; DstXprType = Eigen::Matrix; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type = void; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:4787:27: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1160:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> > >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, true> >, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2089:107: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2090:52: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2127:158: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2129:74: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2244:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2245:92: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/likelihoods.h:5632:76: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:5872:81: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4985:139: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Block, -1, 1, true>, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3821:61: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9586:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:2216:95: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:2996:106: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:3375:40: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/GP_utils.h:435:35: required from 'void GPBoost::SubtractProdFromNonSqMat(T_mat&, const den_mat_t&, const den_mat_t&) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:11001:36: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:1371:17: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4669:65: required from 'void GPBoost::REModelTemplate::FindInitCovPar(const double*, const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1173:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/LBFGSpp/BFGSMat.h:172:40: required from 'void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]' ./include/LBFGS.h:170:28: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]' ./include/LBFGSpp/BKLDLT.h:362:28: required from 'int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]' ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from 'void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/LBFGSpp/BFGSMat.h:152:34: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1806:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1838:40: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:689:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:340:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6958:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5881:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:790:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::add_assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >, Eigen::internal::add_assign_op, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::SparseMatrix; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Matrix]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:4351:17: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:7348:47: required from 'void GPBoost::REModelTemplate::CreateREComponentsFITC_FSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, GPBoost::string_t, double, double, double, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:354:6: required from 'GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, double, const char*, int, int, bool, bool, const double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:86:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9218:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5859:23: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4985:139: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:3958:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9586:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:3359:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6958:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11436:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2656:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5881:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4374:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4374:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3557:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:689:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:11339:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4391:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from 'static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4985:139: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/re_model_template.h:9586:198: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_Vecchia(GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9466:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7775:12: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FSVA(const GPBoost::den_mat_t*, GPBoost::den_mat_t, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::den_mat_t, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/likelihoods.h:2810:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:3359:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Transpose >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6742:15: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6958:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11315:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11335:20: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10433:39: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2656:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:13539:141: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivCovParVecchia(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5441:10: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:774:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5859:23: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5881:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5883:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1971:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:2183:36: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3557:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/CG_utils.h:689:41: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/GPBoost/CG_utils.h:724:34: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/GPBoost/re_model_template.h:3487:35: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7061:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7065:39: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7116:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:188:46: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:194:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10438:20: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:11339:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10613:27: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4391:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/unconstrained/nm.hpp:212:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1034:44: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9200:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:9215:14: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2081:104: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:3359:53: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3489:19: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6757:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:7121:16: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11509:19: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11436:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:2656:60: required from 'void GPBoost::REModelTemplate::UpdateFixedEffects(const GPBoost::vec_t&, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1172:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2196:20: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5885:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:5190:19: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:4091:13: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, const GPBoost::sp_mat_t&, bool, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1931:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:9808:18: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3557:22: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1943:75: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:6302:20: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6308:19: required from 'void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10107:5: required from 'void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1726:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCoefs(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:858:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/re_model_template.h:11339:54: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10688:15: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:6632:13: required from 'void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, double, const GPBoost::data_size_t*, GPBoost::data_size_t, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:10882:87: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4391:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4577:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4798:10: required from 'void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:1154:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/LBFGSpp/BFGSMat.h:119:20: required from 'void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]' ./include/LBFGS.h:275:42: required from 'int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&, bool, LBFGSpp::BFGSMat&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]' ./include/GPBoost/optim_utils.h:668:29: required from 'void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_model_template.h:1296:34: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:13410:13: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:510:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/likelihoods.h:4977:171: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:7775:12: required from 'void GPBoost::Likelihood::Sample_Posterior_LaplaceApprox_FSVA(const GPBoost::den_mat_t*, GPBoost::den_mat_t, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::chol_den_mat_t, GPBoost::den_mat_t, const std::vector > > >&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/likelihoods.h:2810:6: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFSVA(const double*, const int*, const double*, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:8776:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::add_assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op]' ./include/Eigen/src/Core/NoAlias.h:51:31: required from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]' ./include/GPBoost/likelihoods.h:3317:17: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, double&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:8785:60: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:118:9: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' ./include/GPBoost/re_model_template.h:11215:67: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:540:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Transpose >, 1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Transpose >, 1> >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from 'Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, true> >; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/GeneralProduct.h:379:20: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5882:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5883:35: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t*, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1914:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' ./include/GPBoost/re_model_template.h:1971:65: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9727:34: required from 'void GPBoost::REModelTemplate::CalcFisherInformation_FITC_FSA(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:9469:5: required from 'void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1414:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2762:19: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:4574:23: required from 'void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:1859:16: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:13106:40: required from 'void GPBoost::Likelihood::Inv_SigmaI_plus_ZtWZ_Vecchia_iterative(int, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, const std::vector > > >&, GPBoost::data_size_t, GPBoost::REModelTemplate*, const GPBoost::vec_t&, GPBoost::vec_t&, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:3110:7: required from 'void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, std::map >&, std::map >&, bool, const GPBoost::den_mat_t&, bool, double&, const std::vector > > >&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, GPBoost::data_size_t, GPBoost::REModelTemplate*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:8766:63: required from 'double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3087:6: required from 'void GPBoost::REModelTemplate::CalcGradientF(double*, const double*, bool, const GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' re_model.cpp:679:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:3678:12: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:10907:22: required from 'void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, bool, bool, int, int, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]' ./include/GPBoost/re_model_template.h:4022:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2186:19: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4352:11: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:4448:20: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:6224:13: required from 'void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1832:18: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:549:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13377:21: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/likelihoods.h:13379:14: required from 'void GPBoost::Likelihood::CalcLogDetStochDerivModeVecchia(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, const std::vector > > >&, bool) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/likelihoods.h:5391:6: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, std::map >&, std::map >&, std::map > >&, std::map > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, GPBoost::data_size_t, GPBoost::REModelTemplate*, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1905:76: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:540:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2151:29: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:389:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:549:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:2174:45: required from 'void GPBoost::REModelTemplate::CalcGradPars_FITC_FSA_GaussLikelihood_Cluster_i(double, GPBoost::vec_t&, bool, int, GPBoost::data_size_t) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int]' ./include/GPBoost/re_model_template.h:1825:8: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:549:6: required from 'void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]' ./include/GPBoost/re_model_template.h:9247:20: required from 'void GPBoost::REModelTemplate::CalcYAux(double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:1065:5: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:180:20: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:5175:15: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ./include/GPBoost/re_model_template.h:1845:78: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]' re_model.cpp:405:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Inverse.h:68:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' ./include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' ./include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' ./include/Eigen/src/LU/InverseImpl.h:311:60: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/CG_utils.h:685:6: required from 'void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:2780:28: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihoodGauss(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/GPBoost/re_model_template.h:3010:5: required from 'void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, double&, const double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:645:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_model_template.h:11309:42: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/LU/PartialPivLU.h:528:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >': ./include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >' ./include/Eigen/src/Core/Ref.h:300:101: required by substitution of 'template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:463:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]' ./include/Eigen/src/LU/PartialPivLU.h:514:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]' ./include/Eigen/src/LU/PartialPivLU.h:538:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' ./include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ./include/Eigen/src/LU/PartialPivLU.h:582:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/LU/PartialPivLU.h:377:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/likelihoods.h:6960:14: required from 'void GPBoost::Likelihood::PredictLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, std::shared_ptr >, const std::vector > > >&, const std::vector > > >&, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, bool, int, GPBoost::den_mat_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::vec_t&, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:3938:59: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]' ./include/Eigen/src/Core/Visitor.h:302:14: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]' ./include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Product, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Block, -1, 1, true> >, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:5197:52: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ./include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11067:16: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:996:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, Eigen::AMDOrdering >, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]' re_model.cpp:1020:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:11059:17: required from 'void GPBoost::REModelTemplate::CalcPredFITC_FSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:4012:7: required from 'void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, bool, bool, int, int, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]' re_model.cpp:1044:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' ./include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]' ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >, const Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' ./include/GPBoost/likelihoods.h:4826:42: required from 'void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFSVA(const double*, const int*, const double*, const GPBoost::chol_den_mat_t&, const GPBoost::chol_den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector > > >&, const std::vector > > >&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool, const std::vector > > >&, const std::vector > > >&, GPBoost::den_mat_t, GPBoost::chol_den_mat_t, const std::vector&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1921:73: required from 'void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1335:8: required from 'void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, const double*, bool, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:373:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/re_model_template.h:10084:12: required from 'void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_model_template.h:1701:5: required from 'void GPBoost::REModelTemplate::CalculateStandardErrorsCovPars(const double*, double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' re_model.cpp:800:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sparse_matrix_utils.cpp -o sparse_matrix_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/sparse_matrix_utils.h:12, from sparse_matrix_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' ./include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' ./include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' sparse_matrix_utils.cpp:306:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' ./include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map >; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' sparse_matrix_utils.cpp:289:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GP_utils.cpp -o GP_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/GP_utils.h:12, from GP_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' GP_utils.cpp:38:11: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' GP_utils.cpp:38:11: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' GP_utils.cpp:55:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' GP_utils.cpp:214:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' GP_utils.cpp:217:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:234:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:264:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:264:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' GP_utils.cpp:303:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:303:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:316:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:316:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' GP_utils.cpp:376:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:376:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' GP_utils.cpp:376:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' GP_utils.cpp:380:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:426:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' GP_utils.cpp:440:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:168:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:214:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]' GP_utils.cpp:214:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' GP_utils.cpp:209:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' GP_utils.cpp:230:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:264:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:463:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from 'struct Eigen::internal::plain_object_eval, Eigen::Sparse>' ./include/Eigen/src/SparseCore/SparseProduct.h:71:53: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' GP_utils.cpp:38:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:234:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:303:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/AssignEvaluator.h:873:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' GP_utils.cpp:373:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:380:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:426:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:440:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' ./include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:260:9: required from 'static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' GP_utils.cpp:38:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]' GP_utils.cpp:249:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:433:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/DenseBase.h:463:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' GP_utils.cpp:384:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:217:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:376:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:55:29: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:376:78: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:316:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' GP_utils.cpp:30:11: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DF_utils.cpp -o DF_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Vecchia_utils.cpp -o Vecchia_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/Vecchia_utils.h:12, from Vecchia_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:47:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >' Vecchia_utils.cpp:53:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:362:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:378:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:378:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:518:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' Vecchia_utils.cpp:552:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/TriangularMatrix.h:175:44: required from 'struct Eigen::internal::traits >, 9> >' ./include/Eigen/src/Core/EigenBase.h:42:59: required from 'struct Eigen::EigenBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:27:34: required from 'class Eigen::TriangularBase >, 9> >' ./include/Eigen/src/Core/TriangularMatrix.h:345:58: required from 'class Eigen::TriangularViewImpl >, 9, Eigen::Dense>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 9>' Vecchia_utils.cpp:690:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' Vecchia_utils.cpp:1104:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >' Vecchia_utils.cpp:1114:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' Vecchia_utils.cpp:1232:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1359:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1359:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1398:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1398:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:1454:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1465:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' Vecchia_utils.cpp:1486:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1486:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:1545:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:1545:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Matrix > >' Vecchia_utils.cpp:1562:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Transpose > >' Vecchia_utils.cpp:1571:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1>, Eigen::Transpose > > >' Vecchia_utils.cpp:1571:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose > > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >' Vecchia_utils.cpp:1571:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1592:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >' Vecchia_utils.cpp:1593:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' Vecchia_utils.cpp:1717:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::internal::AllRange<-1>, std::vector, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >' Vecchia_utils.cpp:1851:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1852:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, -1, false> >' Vecchia_utils.cpp:1863:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' Vecchia_utils.cpp:1886:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' Vecchia_utils.cpp:1886:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' Vecchia_utils.cpp:1911:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:1916:134: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1916:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' Vecchia_utils.cpp:1916:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' Vecchia_utils.cpp:1916:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1917:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:1917:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>' Vecchia_utils.cpp:1917:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:1926:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' Vecchia_utils.cpp:1926:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 2>' Vecchia_utils.cpp:1953:58: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' Vecchia_utils.cpp:1959:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:1977:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >' Vecchia_utils.cpp:1977:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1983:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >' Vecchia_utils.cpp:1984:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >' Vecchia_utils.cpp:1991:18: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' Vecchia_utils.cpp:1991:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2032:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>' Vecchia_utils.cpp:2032:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>' Vecchia_utils.cpp:2038:66: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:2042:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:2059:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:2059:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' Vecchia_utils.cpp:2059:57: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' Vecchia_utils.cpp:2059:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' Vecchia_utils.cpp:2059:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' Vecchia_utils.cpp:2059:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' Vecchia_utils.cpp:2083:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2087:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' Vecchia_utils.cpp:2091:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>' Vecchia_utils.cpp:2091:199: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' Vecchia_utils.cpp:2091:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' Vecchia_utils.cpp:2095:144: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >' Vecchia_utils.cpp:2095:144: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>' Vecchia_utils.cpp:2333:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2333:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:2333:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' Vecchia_utils.cpp:2336:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' Vecchia_utils.cpp:2336:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>' Vecchia_utils.cpp:2336:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >' Vecchia_utils.cpp:2337:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >' Vecchia_utils.cpp:2337:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2343:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' Vecchia_utils.cpp:2349:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' Vecchia_utils.cpp:2504:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >' Vecchia_utils.cpp:2509:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > > >': ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose > >' Vecchia_utils.cpp:2517:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2517:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >' Vecchia_utils.cpp:2517:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' Vecchia_utils.cpp:2518:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Transpose >, 2>' Vecchia_utils.cpp:2520:75: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::Product >, Eigen::Transpose >, 2>, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 2>, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 2>, 2>' Vecchia_utils.cpp:2520:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> >' Vecchia_utils.cpp:2524:93: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' Vecchia_utils.cpp:2550:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' Vecchia_utils.cpp:2552:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>' Vecchia_utils.cpp:2553:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>' Vecchia_utils.cpp:2553:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>' Vecchia_utils.cpp:2553:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>' Vecchia_utils.cpp:2553:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1031:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1357:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >' ./include/GPBoost/re_comp.h:1412:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1412:57: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:1412:86: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1412:66: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/re_comp.h:1432:33: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1432:46: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1545:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 0> >; Scalar = double]' Vecchia_utils.cpp:1545:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1657:47: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/re_comp.h:1663:39: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]' Vecchia_utils.cpp:1911:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1950:52: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:88:32: required from 'struct Eigen::internal::sparse_diagonal_product_evaluator, Eigen::Transpose >, 0>' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:1951:42: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1959:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix > >' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > > >' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:88:32: required from 'struct Eigen::internal::sparse_diagonal_product_evaluator, Eigen::Transpose, const Eigen::Matrix > >, 0>' ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:2038:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2349:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2349:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:42:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:648:31: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/GPBoost/re_comp.h:1483:19: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:378:74: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:259:42: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:475:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:261:70: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:475:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:275:43: required from 'void GPBoost::CovFunction::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1123:35: required from 'void GPBoost::RECompGP::ScaleCoordinates(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:475:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:777:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1447:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1460:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1461:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1463:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1464:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1592:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from 'Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]' Vecchia_utils.cpp:1811:14: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1886:64: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1983:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1983:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1984:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1984:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1985:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1985:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/GPBoost/sparse_matrix_utils.h:306:25: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if, T_mat1>::value>::type* = 0]' Vecchia_utils.cpp:2060:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/GPBoost/sparse_matrix_utils.h:198:27: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:307:46: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if, T_mat1>::value>::type* = 0]' Vecchia_utils.cpp:2060:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:118:43: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2516:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >': ./include/Eigen/src/Core/Product.h:145:7: required from 'class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::SparseMatrix, 2>' ./include/GPBoost/sparse_matrix_utils.h:121:31: required from 'void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:350:52: required from 'void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]' Vecchia_utils.cpp:2516:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2537:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ./include/GPBoost/cov_fcts.h:296:68: required from 'void GPBoost::CovFunction::ScaleCoordinates_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:820:6: required from 'double GPBoost::CovFunction::CalculateCovarianceOneEntry(double, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1375:68: required from 'double GPBoost::RECompGP::GetZSigmaZtij(int, int) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1504:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/Eigen/src/Cholesky/LLT.h:455:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:53:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:378:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:231:18: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1186:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1886:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > > >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1983:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2634:53: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2636:79: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2265:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1486:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ./include/Eigen/src/Cholesky/LLT.h:371:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]' Vecchia_utils.cpp:1863:116: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >': ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >' ./include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from 'void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:678:15: required from 'void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:215:7: required from 'void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:381:36: required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]' Vecchia_utils.cpp:2335:19: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:42:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:552:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2437:83: required from 'double GPBoost::CovFunction::SpaceTimeGneitingCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2492:91: required from 'double GPBoost::CovFunction::GradientSpaceTimeGneitingCovariance(int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*, const GPBoost::vec_t&, int, bool, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2089:13: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1447:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1460:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1461:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1463:160: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1464:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:847:73: required from 'double GPBoost::CovFunction::CalculateCovarianceOneEntry(double, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1375:68: required from 'double GPBoost::RECompGP::GetZSigmaZtij(int, int) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1504:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:1592:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, true>]' Vecchia_utils.cpp:1717:73: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' Vecchia_utils.cpp:2537:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:185:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from 'void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]' ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:550:97: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2265:125: required from 'double GPBoost::CovFunction::GradientRangeMaternSpaceTimeShape0_5(double, double, const T_mat&, int, int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2000:15: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2437:83: required from 'double GPBoost::CovFunction::SpaceTimeGneitingCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2634:53: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2636:79: required from 'double GPBoost::CovFunction::HurstCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1673:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:455:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]' ./include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:371:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1950:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' Vecchia_utils.cpp:1950:52: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:2333:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2437:83: required from 'double GPBoost::CovFunction::SpaceTimeGneitingCovariance_vec(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&) const [with T_mat = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:1665:13: required from 'void GPBoost::CovFunction::InitializeCovFct() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:206:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/GPBoost/cov_fcts.h:2492:91: required from 'double GPBoost::CovFunction::GradientSpaceTimeGneitingCovariance(int, int, const GPBoost::den_mat_t*, const GPBoost::den_mat_t*, const GPBoost::vec_t&, int, bool, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:2089:13: required from 'void GPBoost::CovFunction::InitializeCovFctGrad() [with T_mat = Eigen::Matrix]' ./include/GPBoost/cov_fcts.h:207:4: required from 'GPBoost::CovFunction::CovFunction(GPBoost::string_t, double, double, double, double, bool, int, bool) [with T_mat = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' ./include/GPBoost/re_comp.h:860:56: required from 'GPBoost::RECompGP::RECompGP(const GPBoost::den_mat_t&, GPBoost::string_t, double, double, double, bool, bool, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::string_t = std::__cxx11::basic_string]' Vecchia_utils.cpp:1131:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1921:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/GPBoost/sparse_matrix_utils.h:198:11: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<(((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_X>::value))>::type* = 0]' ./include/GPBoost/sparse_matrix_utils.h:307:46: required from 'void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if, T_mat1>::value>::type* = 0]' Vecchia_utils.cpp:2060:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>]' ./include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2533:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:372:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::internal::AllRange<-1>, std::vector >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]' ./include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]' ./include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:104:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>]' ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:135:7: required from 'Eigen::internal::binary_evaluator, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased>::binary_evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/Core/CoreEvaluators.h:728:52: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with BinaryOp = Eigen::internal::scalar_sum_op; Lhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; Rhs = const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>; XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >]' ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]' Vecchia_utils.cpp:2333:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]' Vecchia_utils.cpp:1567:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>' ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> > >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::internal::AllRange<-1>, std::vector > >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1921:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Transpose >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Transpose > >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Transpose > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Transpose > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1935:121: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl >, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl >, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1657:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector > >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Matrix, 0>; OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1921:38: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:2051:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1663:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from 'static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1663:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::internal::AllRange<-1>, std::vector >, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::IndexedView, AllRange<-1>, std::vector >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::IndexedView, Eigen::internal::AllRange<-1>, std::vector >, 0>; Derived = Eigen::Matrix]' Vecchia_utils.cpp:1851:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:351:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:370:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Cholesky/LLT.h:415:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ./include/Eigen/src/Cholesky/LLT.h:463:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:549:10: required from 'const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' Vecchia_utils.cpp:1561:86: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1928:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:2551:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/cov_fcts.h:648:12: required from 'void GPBoost::CovFunction::CalculateCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_aux = Eigen::Matrix; typename std::enable_if, T_aux>::value>::type* = 0; T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1473:52: required from 'void GPBoost::RECompGP::CalcSigmaAndSigmaGradVecchia(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat*, bool, bool, double, bool, const std::vector&) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:57:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1432:22: required from 'std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]' Vecchia_utils.cpp:1402:72: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]' ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/GPBoost/re_comp.h:1663:26: required from 'void GPBoost::RECompGP::AddPredCovMatrices(const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, T_mat&, T_mat&, bool, bool, bool, const double*, bool, T_mat&) [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]' Vecchia_utils.cpp:1707:59: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1579:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]' ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' Vecchia_utils.cpp:1571:89: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2091:200: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LLT, 1>; RhsType = Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' Vecchia_utils.cpp:1916:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::SparseMatrix >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product, Eigen::Block, -1, 1, true>, 0> >, 0>; Derived = Eigen::Block, -1, 1, true>]' Vecchia_utils.cpp:2095:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >' ./include/GPBoost/cov_fcts.h:1362:38: required from 'void GPBoost::CovFunction::FindInitCovPar(const T_mat&, const GPBoost::den_mat_t&, bool, GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1247:34: required from 'void GPBoost::RECompGP::FindInitCovPar(GPBoost::RNG_t&, GPBoost::vec_t&, double) const [with T_mat = Eigen::Matrix; GPBoost::RNG_t = std::mersenne_twister_engine; GPBoost::vec_t = Eigen::Matrix]' ./include/GPBoost/re_comp.h:1240:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -pthread -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CG_utils.cpp -o CG_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/CG_utils.h:12, from CG_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:156:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ./include/GPBoost/utils.h:342:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/sparse_matrix_utils.h:438:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ./include/GPBoost/cov_fcts.h:261:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:296:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:648:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ./include/GPBoost/cov_fcts.h:751:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >' ./include/GPBoost/cov_fcts.h:751:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:847:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/cov_fcts.h:853:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:1365:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ./include/GPBoost/cov_fcts.h:2265:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ./include/GPBoost/cov_fcts.h:2265:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2437:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ./include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ./include/GPBoost/cov_fcts.h:2492:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >' ./include/GPBoost/cov_fcts.h:2492:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/re_comp.h:764:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >' ./include/Eigen/src/Core/IndexedView.h:153:7: required from 'class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>' ./include/Eigen/src/Core/IndexedView.h:109:7: required from 'class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>' ./include/GPBoost/CG_utils.h:461:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:531:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:540:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:549:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:549:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:549:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/GPBoost/CG_utils.h:561:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ./include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:562:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:563:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:655:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' ./include/GPBoost/CG_utils.h:655:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ./include/GPBoost/CG_utils.h:668:196: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/GPBoost/CG_utils.h:668:197: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>' ./include/GPBoost/CG_utils.h:668:198: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ./include/GPBoost/CG_utils.h:685:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >' ./include/GPBoost/CG_utils.h:685:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>' ./include/GPBoost/CG_utils.h:685:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >' ./include/GPBoost/CG_utils.h:685:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >' ./include/GPBoost/CG_utils.h:685:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper >, 1>' ./include/GPBoost/CG_utils.h:686:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' ./include/GPBoost/CG_utils.h:689:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' CG_utils.cpp:36:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' CG_utils.cpp:55:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:55:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:55:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' CG_utils.cpp:55:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 1024>' ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, Eigen::Sparse>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' CG_utils.cpp:59:29: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 6> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 6>' CG_utils.cpp:59:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' CG_utils.cpp:59:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 1, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 1>' CG_utils.cpp:60:64: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' CG_utils.cpp:60:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, 2> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 2>' CG_utils.cpp:64:84: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' CG_utils.cpp:64:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' CG_utils.cpp:102:16: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:144:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:144:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:153:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:165:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:165:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:165:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >' CG_utils.cpp:199:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' CG_utils.cpp:256:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >' CG_utils.cpp:273:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:278:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:286:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:286:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:290:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>' CG_utils.cpp:290:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:299:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' CG_utils.cpp:384:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >' CG_utils.cpp:396:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' CG_utils.cpp:396:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>' CG_utils.cpp:396:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >' CG_utils.cpp:396:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:402:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>' CG_utils.cpp:402:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, -1, -1>' CG_utils.cpp:416:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Replicate, -1, -1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >' CG_utils.cpp:416:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' CG_utils.cpp:516:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>' CG_utils.cpp:516:171: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>' CG_utils.cpp:516:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >' CG_utils.cpp:516:172: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>, 0> > >' CG_utils.cpp:516:173: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>' CG_utils.cpp:520:261: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>' CG_utils.cpp:520:262: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >' CG_utils.cpp:520:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>' CG_utils.cpp:520:264: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>' CG_utils.cpp:520:265: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 5> >': ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl, 5, Eigen::Sparse>' ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, 5>' CG_utils.cpp:521:55: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >' CG_utils.cpp:521:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Matrix > >' CG_utils.cpp:521:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:610:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:619:210: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:619:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' CG_utils.cpp:621:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 5>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 5>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:624:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' CG_utils.cpp:642:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:642:191: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >' CG_utils.cpp:642:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>' CG_utils.cpp:642:192: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>' CG_utils.cpp:642:193: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>' CG_utils.cpp:642:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, const Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 0>, 0> >' CG_utils.cpp:642:194: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Matrix > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Matrix > >' CG_utils.cpp:746:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>' CG_utils.cpp:747:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >' CG_utils.cpp:747:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >' CG_utils.cpp:747:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:747:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >' CG_utils.cpp:763:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, -1, 1, true>, 1>' CG_utils.cpp:837:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> > >' CG_utils.cpp:855:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, true>, 0>' CG_utils.cpp:859:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>' CG_utils.cpp:859:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >' CG_utils.cpp:859:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:993:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ./include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from 'class Eigen::SelfAdjointEigenSolver >' CG_utils.cpp:993:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' CG_utils.cpp:999:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' CG_utils.cpp:999:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:999:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' CG_utils.cpp:999:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' CG_utils.cpp:999:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >' CG_utils.cpp:999:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1011:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' CG_utils.cpp:1011:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' ./include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1029:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >' CG_utils.cpp:1029:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1031:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' CG_utils.cpp:1031:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' CG_utils.cpp:1033:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' CG_utils.cpp:1033:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, -1, 1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' CG_utils.cpp:1063:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >' CG_utils.cpp:1141:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >' CG_utils.cpp:1276:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from 'class Eigen::internal::sparse_matrix_block_impl, 1, -1>' ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from 'class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, true>' CG_utils.cpp:1532:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>' ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from 'Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]' CG_utils.cpp:1049:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, -1, 1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, -1, 1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1063:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1063:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >' ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from 'struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1> >' ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 1; _StorageIndex = int]' CG_utils.cpp:1526:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from 'struct Eigen::internal::block_evaluator, 1, -1, true, false>' ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1532:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1532:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:43:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ./include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:79:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' CG_utils.cpp:133:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:209:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:869:57: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:42:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >' ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ./include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from 'static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]' ./include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from 'Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]' ./include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from 'Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:467:24: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' ./include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ./include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' ./include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' ./include/Eigen/src/Core/Visitor.h:255:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:35: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1000:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:1012:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ./include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ./include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' CG_utils.cpp:998:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1011:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:79:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:165:81: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:172:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > > >' ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> > >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:999:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/Product.h:137:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' CG_utils.cpp:74:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:172:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >' ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from 'PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:381:23: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/Redux.h:202:33: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]' CG_utils.cpp:172:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]' ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:161:5: required from 'Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/Block.h:111:5: required from 'Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from 'static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]' ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]' CG_utils.cpp:209:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>' ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]' ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >': ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:1031:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>' ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >' ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]' ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]' ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:279:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>' ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >' ./include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>' ./include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>' ./include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>' ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Block, -1, 1, true>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >' ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = add_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:387:120: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]' ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:385:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:390:120: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:281:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:286:151: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]' ./include/Eigen/src/Cholesky/LLT.h:503:62: required from 'void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Product >, Eigen::Matrix, 0>; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:616:195: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:168:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Block, -1, 1, true>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ./include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ./include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ./include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' CG_utils.cpp:763:111: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::Block, -1, 1, true> >, const Eigen::Product >, Eigen::Block, -1, 1, true>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:859:140: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, false>' ./include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true, Eigen::Dense>' ./include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>' ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >]' ./include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Block, -1, 1, true>, 0> >, 0>, 1> >; Derived = Eigen::Block, -1, 1, true>]' CG_utils.cpp:841:205: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, 0>': ./include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>, Eigen::Dense>' ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >': ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >' ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >' ./include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Eigen::Index = long int]': ./include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> > >; Scalar = double]' ./include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; ResScalar = double]' ./include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Product >, Eigen::Matrix, 1>, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op]' ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>]' ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; Derived = Eigen::Matrix]' ./include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Product, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0> >, 0>, 0>, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' CG_utils.cpp:520:266: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_spsolve.c -o cs_spsolve.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_reach.c -o cs_reach.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cs_dfs.c -o cs_dfs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o gpboost.so boosting/boosting.o boosting/gbdt.o boosting/gbdt_model_text.o boosting/gbdt_prediction.o boosting/prediction_early_stop.o io/bin.o io/config.o io/config_auto.o io/dataset.o io/dataset_loader.o io/file_io.o io/json11.o io/metadata.o io/parser.o io/train_share_states.o io/tree.o metric/dcg_calculator.o metric/metric.o objective/objective_function.o network/ifaddrs_patch.o network/linker_topo.o network/linkers_mpi.o network/linkers_socket.o network/network.o treelearner/data_parallel_tree_learner.o treelearner/feature_parallel_tree_learner.o treelearner/gpu_tree_learner.o treelearner/linear_tree_learner.o treelearner/serial_tree_learner.o treelearner/tree_learner.o treelearner/voting_parallel_tree_learner.o c_api.o gpboost_R.o re_model.o sparse_matrix_utils.o GP_utils.o DF_utils.o Vecchia_utils.o CG_utils.o cs_spsolve.o cs_reach.o cs_dfs.o -fopenmp -pthread installing to /tmp/th798/28732487/R-release/618/library/00LOCK-gpboost/00new/gpboost/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gpboost) * installing *source* package 'callr' ... ** this is package 'callr' version '3.7.6' ** package 'callr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading R6Class r_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class r_session: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rcmd_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rscript_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (callr) * installing *source* package 'waldo' ... ** this is package 'waldo' version '0.6.2' ** package 'waldo' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (waldo) * installing *source* package 'pkgbuild' ... ** this is package 'pkgbuild' version '1.4.8' ** package 'pkgbuild' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgbuild) * installing *source* package 'pkgload' ... ** this is package 'pkgload' version '1.5.2' ** package 'pkgload' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgload) * installing *source* package 'testthat' ... ** this is package 'testthat' version '3.3.2' ** package 'testthat' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-catch.cpp -o test-catch.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-example.cpp -o test-example.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c test-runner.cpp -o test-runner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++20 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o testthat.so init.o test-catch.o test-example.o test-runner.o installing to /tmp/th798/28732487/R-release/618/library/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 973.514 53.707 1058.325 > print(Sys.time()) [1] "2026-05-29 03:07:50 MST" > (pkg_Version.tar.gz <- paste0(rev.dep,"_", deps.row[,"Version"], ".tar.gz")) [1] "gpboost_1.6.7.tar.gz" > (pkg.tar.gz <- file.path(local.CRAN, "src", "contrib", pkg_Version.tar.gz)) [1] "/projects/genomic-ml/CRAN/src/contrib/gpboost_1.6.7.tar.gz" > (rev.dep.release.tar.gz <- normalizePath(pkg.tar.gz, mustWork=TRUE)) [1] "/projects/genomic-ml/CRAN/src/contrib/gpboost_1.6.7.tar.gz" > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2026-05-29 03:07:51 MST" Installing package into '/tmp/th798/28732487/R-release/618/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.4' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/28732487/R-release/618/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-05-29 03:08:21 MST" * using log directory '/tmp/th798/28732487/R-release/618/gpboost.Rcheck' * using R version 4.6.0 (2026-04-24) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * current time: 2026-05-29 10:08:22 UTC * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.6.7' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... INFO specified C++17 * checking installed package size ... INFO installed size is 63.7Mb sub-directories of 1Mb or more: libs 62.7Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-05-29 03:25:41 MST" [1] "2026-05-29 03:25:41 MST" Installing package into '/tmp/th798/28732487/R-release/618/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.18.99' ** using staged installation zlib 1.2.13 is available ok * checking if OpenMP works with CFLAGS='' LIBS=''... no * checking if OpenMP works with CFLAGS='$(SHLIB_OPENMP_CFLAGS)' LIBS='$(SHLIB_OPENMP_CFLAGS)'... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c hash.c -o hash.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o hash.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fvisibility=hidden -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fvisibility=hidden -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/28732487/R-release/618/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2026-05-29 03:26:13 MST" * using log directory '/tmp/th798/28732487/R-release/618/gpboost.Rcheck' * using R version 4.6.0 (2026-04-24) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * current time: 2026-05-29 10:26:14 UTC * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.6.7' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'gpboost' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * used C++ compiler: 'g++ (Spack GCC) 12.2.0' * checking C++ specification ... INFO specified C++17 * checking installed package size ... INFO installed size is 63.7Mb sub-directories of 1Mb or more: libs 62.7Mb * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking line endings in shell scripts ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2026-05-29 03:43:29 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_version_4.6.0_2026-04-24/release_1.18.4.Rcheck/00check.log 2026-05-29 03:25:41.449444529 -0700 +++ R_version_4.6.0_2026-04-24/master_1.18.99.1b998b10e8d6cef62909a1276686ac16c98f5c10.Rcheck/00check.log 2026-05-29 03:43:29.669166752 -0700 @@ -6,7 +6,7 @@ GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII -* current time: 2026-05-29 10:08:22 UTC +* current time: 2026-05-29 10:26:14 UTC * checking for file 'gpboost/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'gpboost' version '1.6.7' > library(data.table, lib.loc=R.home("library")) Attaching package: 'data.table' The following object is masked from 'package:base': %notin% > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + unlink(dt.git, recursive=TRUE, force=TRUE) + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } >